{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 杭州互联网寒冬下的数据分析岗现状分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "****"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 学员昵称：米竹314159\n",
    "- 学员编号：822122"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 目录"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [绪论](#绪论)\n",
    "- [数据获取](#数据获取)\n",
    "- [数据预处理](#数据预处理)\n",
    "- [数据分析](#数据分析)\n",
    "- [总结](#总结)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绪论"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-21T00:07:12.138470Z",
     "start_time": "2019-01-21T00:07:12.115481Z"
    }
   },
   "source": [
    "### 背景"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据分析是我比较心仪的发展方向。利用数据来定性且定量地解决（解释和预测）问题，酷极。且数据分析广泛地存在于各行各业中，加之行业的业务理解，简直就是万金油，妙极。   \n",
    "2018年互联网行业面临着又一轮的寒冬，大小公司裁员、缩招，一时满城风雨。互联网行业是数据分析师职业发展较好的温室，且其提供的就业机会（数据分析岗）也是相对最多的。因此倘若互联网行业确是面临凛冽寒风，那对（全行业的）数据分析岗的冲击无疑会是不可忽视的。\n",
    "退一步说，潮起潮落，再正常不过了。（寒冬都到了，暖春还会远吗？）但这股寒潮仍是给我敲响了警钟，原以为数据分析岗仍会很抢手，是我一直以来都安逸惯了。因此对杭州市网上招聘的数据（选择杭州原因有二：其一是在智联只能爬到1080条数据，对于全国来说n太小，会产生较大的偏差；其二是本人打算在杭州发展，且杭州作为互联网大市，能提供一定的数据支持（见下图 2-1））进行爬取分析，管中窥豹，大致了解当下的数据分析岗(与数据分析相关的岗位)现状，为将来的就业做好初步的规划。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:26.421445Z",
     "start_time": "2019-01-22T15:02:24.994388Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'图2-1 全国数据分析岗招聘数条形图(前12)')"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ookwht0LLcYgyv/AXKBc1Dur9BHajfCNxQ0QcTWmL+FBmzqGE6vUorSJX1hHj3eo5QQn7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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# 绘制条形图\n",
    "city_df = pd.read_excel('NationalJobs_da.xlsx')['city']\n",
    "barh_series = city_df.value_counts()[:12].sort_values(\n",
    "    ascending=True)  # 取前12个城市\n",
    "barh_series.plot.barh(grid=True, alpha=0.8, figsize=(12, 7))\n",
    "plt.xticks([])\n",
    "plt.title('图2-1 全国数据分析岗招聘数条形图(前12)')  # n不够大，仅做参考！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 介绍"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "本次项目采集[智联招聘](https://www.zhaopin.com/)杭州站的招聘信息，主要分为公司基本信息、职位基本信息、职位要求信息这三部分。注意：智联招聘最多只展示12页（90\\*12条）信息，展示数据来自于智联招聘的匹配系统，可能不能很好的代表总体的信息。\n",
    "再通过数据预处理将数据处理为可以分析的干净数据。  \n",
    "通过对招聘详细描述信息绘制词云图进行可视化分析，对公司、职位的基本信息和职位的要求信息进行描述性分析，最后通过关联规则发现了招聘者对于求职者软件能力要求之间的相关关系。 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据获取"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "本次项目采集自[智联招聘](https://www.zhaopin.com/)全国站/杭州站的数据分析岗招聘信息，主要有公司基本信息、职位基本信息、职位要求信息这三部分。  \n",
    "[总数据说明](#总数据说明)以及[预处理后的数据](#预处理后的数据说明)见下文。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 爬虫详情"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-21T07:49:01.283712Z",
     "start_time": "2019-01-21T07:43:10.046722Z"
    },
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "准备获取第1.0页的信息 loading……\n",
      "第1.0页的信息获取完成！\n",
      "准备获取第2.0页的信息 loading……\n",
      "第2.0页的信息获取完成！\n",
      "准备获取第3.0页的信息 loading……\n",
      "第3.0页的信息获取完成！\n",
      "准备获取第4.0页的信息 loading……\n",
      "第4.0页的信息获取完成！\n",
      "准备获取第5.0页的信息 loading……\n",
      "第5.0页的信息获取完成！\n",
      "准备获取第6.0页的信息 loading……\n",
      "第6.0页的信息获取完成！\n",
      "准备获取第7.0页的信息 loading……\n",
      "第7.0页的信息获取完成！\n",
      "准备获取第8.0页的信息 loading……\n",
      "第8.0页的信息获取完成！\n",
      "准备获取第9.0页的信息 loading……\n",
      "第9.0页的信息获取完成！\n",
      "准备获取第10.0页的信息 loading……\n",
      "第10.0页的信息获取完成！\n",
      "准备获取第11.0页的信息 loading……\n",
      "第11.0页的信息获取完成！\n",
      "准备获取第12.0页的信息 loading……\n",
      "第12.0页的信息获取完成！\n",
      "爬取完成！\n"
     ]
    }
   ],
   "source": [
    "# 网页分析: 大部分的招聘信息可以通过智联招聘给出的API直接获取，招聘人数以及职业描述的文本数据等信息则需要在信息详情页进行采集。\n",
    "import re\n",
    "import time\n",
    "import random\n",
    "\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from requests.exceptions import RequestException\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# 杭州站的基础url\n",
    "hangzhou_url = 'https://fe-api.zhaopin.com/c/i/sou?start={}&pageSize=90&cityId=653&workExperience=-1&education=-1' \\\n",
    "               '&companyType=-1&employmentType=-1&jobWelfareTag=-1&kw=%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90&kt=3' \\\n",
    "               '&_v=0.56941966&x-zp-page-request-id=15e5b2a55f484f4da5e0be92d842b06e-1548030421680-768527'\n",
    "# 请求头信息\n",
    "headers = {\n",
    "    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'}\n",
    "\n",
    "\n",
    "def get_response(url, headers):\n",
    "    '''\n",
    "    获取响应\n",
    "\n",
    "    参数：\n",
    "    url     -- 目标站点\n",
    "    headers -- 请求头信息\n",
    "    返回：\n",
    "    若目标站点成功访问，返回其返回的响应信息\n",
    "    '''\n",
    "    try:\n",
    "        response = requests.get(url, headers=headers)\n",
    "        if response.status_code == 200:\n",
    "            return response\n",
    "        return None\n",
    "    except RequestException:\n",
    "        return None\n",
    "\n",
    "\n",
    "def parse_data(max_num, step):\n",
    "    '''\n",
    "    解析数据\n",
    "\n",
    "    参数：\n",
    "    max_num -- 循环的最大次数(循环翻页)\n",
    "    step    -- 循环的步长\n",
    "    '''\n",
    "    # 初始化一个列表，用于存放各页的信息\n",
    "    page_info = []\n",
    "\n",
    "    # 依次解析各页的数据\n",
    "    for i in range(0, max_num, step):\n",
    "        url = hangzhou_url.format(i)    # 组装每页的url\n",
    "        results = get_response(url, headers=headers).json().get(\n",
    "            'data').get('results')    # 从响应信息中获取需要的字典数据\n",
    "        print('准备获取第{}页的信息 loading……'.format(\n",
    "            np.round((i/90)+1)))    # 90代表每页有90条数据\n",
    "\n",
    "        # 公司基本信息(包含信息：名称、所在城市、所在县区、办公地点、经纬度、规模、性质)\n",
    "        company = [res.get('company').get('name') for res in results]    # 公司名称\n",
    "        city = [res.get('city').get('items')[0].get('name')\n",
    "                for res in results]    # 公司所在城市\n",
    "        area = []    # 公司所在县区（许多招聘信息没有提供县区信息）\n",
    "        for res in results:\n",
    "            if len(res.get('city').get('items')) == 1:\n",
    "                area.append(np.nan)\n",
    "            else:\n",
    "                area.append(res.get('city').get('items')[1].get('name'))\n",
    "        businessArea = [res.get('businessArea') for res in results]    # 公司办公地点\n",
    "        lon = [res.get('geo').get('lon') for res in results]           # 经度\n",
    "        lat = [res.get('geo').get('lat') for res in results]           # 纬度\n",
    "        size = [res.get('company').get('size').get('name')\n",
    "                for res in results]    # 公司规模\n",
    "        quality = [res.get('company').get('type').get('name')          # 公司性质\n",
    "                   for res in results]\n",
    "        # 职位基本信息\n",
    "        jobName = [res.get('jobName') for res in results]    # 职位名称\n",
    "        emplType = [res.get('emplType') for res in results]  # 雇佣类型\n",
    "        salary = [res.get('salary') for res in results]      # 薪水\n",
    "        welfare = [res.get('welfare') for res in results]    # 福利\n",
    "        recruitNum = []                                      # 招聘人数（在详情页获取）\n",
    "        # 职位要求信息\n",
    "        eduLevel = [res.get('eduLevel').get('name') for res in results]\n",
    "        workingExp = [res.get('workingExp').get('name') for res in results]\n",
    "        job_detail = []       # 职位详细描述信息\n",
    "\n",
    "        detailURL = [res.get('positionURL') for res in results]    # 详情页URL\n",
    "        # css选择器从详情页获取招聘人数及职位描述详细信息\n",
    "        for u in detailURL:\n",
    "            soup = BeautifulSoup(get_response(u, headers=headers).text, 'lxml')\n",
    "            # 招聘人数\n",
    "            recruitNum.append(soup.select(\n",
    "                'body > div.wrap > div.main > div.main1.cl.main1-stat > div > ul > li.clearfix > div.info-three.l > span')[-1].text[1: -1])\n",
    "            # 职位详情\n",
    "            detail_info = soup.select(\n",
    "                'body > div.wrap > div.main > div.pos-info.cl > div.l.pos-info-in > div.responsibility.pos-common > div.pos-ul')\n",
    "            detail_info = detail_info[0].text.strip()\n",
    "            pattern = '(\\\\xa0)| '\n",
    "            st = re.sub(pattern, '', detail_info)    # 初步清洗文本数据\n",
    "            job_detail.append(st)\n",
    "\n",
    "        # 在页面随机停留5至20s\n",
    "        time.sleep(random.randint(5, 20))\n",
    "\n",
    "        # 保存每页的内容至page_info中\n",
    "        page_info.append(pd.DataFrame({\n",
    "            'company': company, 'city': city, 'area': area, 'businessArea': businessArea,\n",
    "            'lon': lon, 'lat': lat, 'size': size, 'quality': quality,\n",
    "            'jobName': jobName, 'emplType': emplType, 'salary': salary, 'recruitNum': recruitNum, 'welfare': welfare,\n",
    "            'eduLevel': eduLevel, 'workingExp': workingExp, 'jobDetail': job_detail\n",
    "        }))\n",
    "        print('第{}页的信息获取完成！'.format(np.round((i/90)+1)))\n",
    "    # 合并每一页的数据\n",
    "    total_info = pd.concat(page_info)\n",
    "    return total_info\n",
    "\n",
    "\n",
    "def save_to_excel(path, total_info):\n",
    "    '''\n",
    "    保存数据到excel\n",
    "    '''\n",
    "    total_info.to_excel(path, index=False)\n",
    "\n",
    "\n",
    "def main(fileNum):\n",
    "    '''\n",
    "    主函数\n",
    "    '''\n",
    "    # 给出参数信息\n",
    "    max_num = 90 * 12   # 12页（因为智联招聘只给了12页数据）\n",
    "    step = 90\n",
    "    path = 'HangzhouJobs_da{}.xlsx'.format(fileNum)\n",
    "    # 运行爬虫\n",
    "    total_info = parse_data(max_num, step)\n",
    "    save_to_excel(path, total_info)\n",
    "    print('爬取完成！')\n",
    "\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    # 多次爬取以期获得更多的数据，再用Excel整合去重，发现只是增加了20几条数据，意义不大。\n",
    "    #     for fileNum in range(1, 11):\n",
    "    #         main(fileNum)\n",
    "    main('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:37.783869Z",
     "start_time": "2019-01-22T15:02:37.547459Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>city</th>\n",
       "      <th>area</th>\n",
       "      <th>businessArea</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>size</th>\n",
       "      <th>quality</th>\n",
       "      <th>jobName</th>\n",
       "      <th>emplType</th>\n",
       "      <th>salary</th>\n",
       "      <th>recruitNum</th>\n",
       "      <th>welfare</th>\n",
       "      <th>eduLevel</th>\n",
       "      <th>workingExp</th>\n",
       "      <th>jobDetail</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>杭州微拍堂文化创意有限公司</td>\n",
       "      <td>杭州</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.125788</td>\n",
       "      <td>30.278097</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>民营</td>\n",
       "      <td>数据分析师实习生</td>\n",
       "      <td>实习</td>\n",
       "      <td>5K-8K</td>\n",
       "      <td>1</td>\n",
       "      <td>['五险一金', '餐补', '包吃', '年底双薪', '弹性工作']</td>\n",
       "      <td>本科</td>\n",
       "      <td>不限</td>\n",
       "      <td>工作职能：1、构建业务数据分析体系，帮助确定各项业务数据指标；2、负责监控项目上线效果情况，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙江华坤道威数据科技有限公司</td>\n",
       "      <td>杭州</td>\n",
       "      <td>西湖区</td>\n",
       "      <td>西湖</td>\n",
       "      <td>120.123858</td>\n",
       "      <td>30.272859</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>股份制企业</td>\n",
       "      <td>实习数据分析师</td>\n",
       "      <td>校园</td>\n",
       "      <td>4K-8K</td>\n",
       "      <td>1</td>\n",
       "      <td>['五险一金', '绩效奖金', '餐补', '带薪年假', '员工旅游']</td>\n",
       "      <td>硕士</td>\n",
       "      <td>无经验</td>\n",
       "      <td>职位描述：1、对数据库数据、用户行为数据等进行全面收集、筛选、分类及深度分析；2、及时发现数...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          company city area businessArea         lon        lat      size  \\\n",
       "0   杭州微拍堂文化创意有限公司   杭州  NaN          NaN  120.125788  30.278097  100-499人   \n",
       "1  浙江华坤道威数据科技有限公司   杭州  西湖区           西湖  120.123858  30.272859  100-499人   \n",
       "\n",
       "  quality   jobName emplType salary  recruitNum  \\\n",
       "0      民营  数据分析师实习生       实习  5K-8K           1   \n",
       "1   股份制企业   实习数据分析师       校园  4K-8K           1   \n",
       "\n",
       "                                  welfare eduLevel workingExp  \\\n",
       "0    ['五险一金', '餐补', '包吃', '年底双薪', '弹性工作']       本科         不限   \n",
       "1  ['五险一金', '绩效奖金', '餐补', '带薪年假', '员工旅游']       硕士        无经验   \n",
       "\n",
       "                                           jobDetail  \n",
       "0  工作职能：1、构建业务数据分析体系，帮助确定各项业务数据指标；2、负责监控项目上线效果情况，...  \n",
       "1  职位描述：1、对数据库数据、用户行为数据等进行全面收集、筛选、分类及深度分析；2、及时发现数...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据\n",
    "hangzhou_df = pd.read_excel('HangzhouJobs_da.xlsx')\n",
    "hangzhou_df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 总数据说明\n",
    "\n",
    "|数据类别| 变量名\t| 数据描述\t|  \n",
    "| -- | -- | -- |  \n",
    "|  公司基本信息  |公司名称（company）|字符型变量。如：杭州扬冠网络科技有限公司|\n",
    "|           |所在县区（area）|定性变量。共11个水平|\n",
    "|           |工作地点(businessArea)|定性变量。共64个水平| \n",
    "|           |经纬度（lon、lat）|仅表示空间位置的变量| \n",
    "|           |公司性质(quality)|定性变量。共7个水平| \n",
    "|           |公司规模（size）|定性变量。共6个水平| \n",
    "|  职位基本信息  |职位名称（jobName）|字符型变量。如：数据分析主管、数据分析、数据分析师| \n",
    "|           |雇佣信息（emplType）|定性变量。共4个水平| \n",
    "|           |薪资水平（salary）|字符型变量，待处理为数值型变量| \n",
    "|           |招聘人数（recruitNum）|数值型变量| \n",
    "|  职位要求信息  |学历要求（eduLevel）|定性变量|\n",
    "|           |工作经验要求（workingExp）|定性变量。共7个水平| \n",
    "|           |职位详细信息（jobDetail）|文本数据。包含岗位职责、工作内容、任职要求等信息| "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:40.978200Z",
     "start_time": "2019-01-22T15:02:40.964209Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1080 entries, 0 to 1079\n",
      "Data columns (total 16 columns):\n",
      "company         1080 non-null object\n",
      "city            1080 non-null object\n",
      "area            354 non-null object\n",
      "businessArea    893 non-null object\n",
      "lon             1074 non-null float64\n",
      "lat             1074 non-null float64\n",
      "size            1079 non-null object\n",
      "quality         1080 non-null object\n",
      "jobName         1080 non-null object\n",
      "emplType        1080 non-null object\n",
      "salary          1080 non-null object\n",
      "recruitNum      1080 non-null int64\n",
      "welfare         1080 non-null object\n",
      "eduLevel        1080 non-null object\n",
      "workingExp      1080 non-null object\n",
      "jobDetail       1080 non-null object\n",
      "dtypes: float64(2), int64(1), object(13)\n",
      "memory usage: 135.1+ KB\n"
     ]
    }
   ],
   "source": [
    "# 查看总体数据信息\n",
    "hangzhou_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上可知，变量 area、businessArea、lon、lat、size 存在缺失值。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:45.458712Z",
     "start_time": "2019-01-22T15:02:45.285810Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'图4-1 职位招聘人数箱线图')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kSYUYtCRJkgoxaEmSJBUy7qAVEXMi4vqIWB8RV9VtgxFxa0Rc0rLdLm2SJEndpJ2K1quA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\nFfL/Afa57NqDP3BjAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取各变量的值信息\n",
    "\n",
    "# 定性变量\n",
    "# hangzhou_df['area'].value_counts()  # 公司所在县区（area）存在较多异常值\n",
    "# hangzhou_df['quality'].value_counts()  # 公司性质（quality）存在异常值“不限”(6条)，需要把港澳台公式和学校\\下级学院和事业单位归到其它\n",
    "# hangzhou_df['size'].value_counts()     # 公司规模（size）存在异常值“不限”（10条）\n",
    "\n",
    "# hangzhou_df['emplType'].value_counts()\n",
    "# hangzhou_df['salary'].value_counts()  # 存在13条“薪资面议”\n",
    "\n",
    "# hangzhou_df['eduLevel'].value_counts()\n",
    "# hangzhou_df['workingExp'].value_counts()\n",
    "\n",
    "\n",
    "# 定量变量\n",
    "hangzhou_df[['recruitNum']].boxplot(sym='o',  # 异常点形状，参考marker\n",
    "                                    vert=True,\n",
    "                                    patch_artist=True,  # 上下四分卫框内是否填充，True为填充\n",
    "                                    meanline=False, showmeans=True,  # 是否有均值线及其形状\n",
    "                                    showbox=True,  # 是否显示箱线\n",
    "                                    showcaps=True,  # 是否显示边缘线,\n",
    "                                    showfliers=True,  # 是否显示异常值\n",
    "                                    notch=False,  # 中间箱体是否缺口\n",
    "                                    figsize=(10, 6),\n",
    "                                    return_type='dict')\n",
    "plt.title('图4-1 职位招聘人数箱线图')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**通过对各变量值的观察**：\n",
    "1. quality 存在异常值“不限”（不存在公司性质为“不限”的类别）和部分数量较少的类别 -- 需要去除“不限”的公司性质，合并较少的类别到“其它”中）；\n",
    "2. size 还存在异常值“不限”（不存在公司规模为“不限”的类别） -- 需要去除“不限”的公司类别；\n",
    "3. recruitNum 存在异常值 -- 需要进行异常值处理   \n",
    "\n",
    "**为了让数据适合分析，还需要**：\n",
    "1. 将薪资水平 salary 拆分为 `“最低薪资”`和`“最高薪资”`，再由二者计算`“平均薪资水平”`；\n",
    "2. 从职位详细描述 jobDetail 数据中提取出`“软件能力要求”`变量；\n",
    "3. 将 jobDetail 数据中提取出所有内容写入txt文件中（生成词云图）\n",
    "   \n",
    "为了避免不必要的数据浪费，决定对数据集进行拆分，分为位置数据、文本数据、其他数据。由于要做的三个分析与数据一一对应，相互独立，所以分别对数据进行清洗。[最终预处理后的数据](#预处理后的数据说明)说明见下文。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据清洗 Data Clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**拆分数据**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:48.084669Z",
     "start_time": "2019-01-22T15:02:48.071677Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 位置数据\n",
    "site_df = hangzhou_df.iloc[:, [0, 2]].dropna()  # 提取位置数据并清除缺失值\n",
    "# 文本数据\n",
    "txt_df = hangzhou_df[['jobDetail']]\n",
    "\n",
    "# 其他数据\n",
    "not_necessary_feature = ['city', 'area', 'welfare',\n",
    "                         'businessArea', 'lon', 'lat', 'jobDetail', 'jobName']\n",
    "data = hangzhou_df.drop(\n",
    "    not_necessary_feature, axis=1)  # 去除不重要变量Z"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**数据清洗**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:49.009524Z",
     "start_time": "2019-01-22T15:02:48.923589Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1063, 8)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>size</th>\n",
       "      <th>quality</th>\n",
       "      <th>emplType</th>\n",
       "      <th>salary</th>\n",
       "      <th>recruitNum</th>\n",
       "      <th>eduLevel</th>\n",
       "      <th>workingExp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>杭州微拍堂文化创意有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>民营</td>\n",
       "      <td>实习</td>\n",
       "      <td>5K-8K</td>\n",
       "      <td>1.0</td>\n",
       "      <td>本科</td>\n",
       "      <td>不限</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙江华坤道威数据科技有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>股份制企业</td>\n",
       "      <td>校园</td>\n",
       "      <td>4K-8K</td>\n",
       "      <td>1.0</td>\n",
       "      <td>硕士</td>\n",
       "      <td>无经验</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>印孚瑟斯技术（中国）有限公司杭州研发中心</td>\n",
       "      <td>1000-9999人</td>\n",
       "      <td>外商独资</td>\n",
       "      <td>全职</td>\n",
       "      <td>8K-10K</td>\n",
       "      <td>3.0</td>\n",
       "      <td>本科</td>\n",
       "      <td>3-5年</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                company        size quality emplType  salary  recruitNum  \\\n",
       "0         杭州微拍堂文化创意有限公司    100-499人      民营       实习   5K-8K         1.0   \n",
       "1        浙江华坤道威数据科技有限公司    100-499人   股份制企业       校园   4K-8K         1.0   \n",
       "2  印孚瑟斯技术（中国）有限公司杭州研发中心  1000-9999人    外商独资       全职  8K-10K         3.0   \n",
       "\n",
       "  eduLevel workingExp  \n",
       "0       本科         不限  \n",
       "1       硕士        无经验  \n",
       "2       本科       3-5年  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 公司性质 quality 数据清洗（不存在“不限”的公司性质；较少的类别合并到“其它”中）\n",
    "data['quality'] = data['quality'].replace(\n",
    "    {'不限': np.nan, '港澳台公司': '其它', '事业单位': '其它', '学校/下级学院': '其它'})  # 产生6缺失值\n",
    "\n",
    "# 公司规模 size 数据清洗（不存在“不限”的公司规模）\n",
    "data['size'] = data['size'].replace('不限', np.nan)  # 产生10缺失值\n",
    "\n",
    "# 招聘人数 recruitNum 数据清洗（用箱线图判断异常值）\n",
    "data['recruitNum'] = data['recruitNum'].replace(999, np.nan)  # 产生一条缺失值\n",
    "\n",
    "# 去除所有含有缺失值的行\n",
    "data = data.dropna()\n",
    "\n",
    "print(data.shape)\n",
    "data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据转换 Data Transform"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**薪资水平（salary）数据预处理**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:50.932150Z",
     "start_time": "2019-01-22T15:02:50.890175Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "data = data.drop(hangzhou_df[hangzhou_df['salary']\n",
    "                             == '薪资面议'].index)    # 去除薪资水平中“薪资面议”数据\n",
    "\n",
    "data['low_salary'] = data['salary'].apply(\n",
    "    lambda x: int(re.search('(\\d+)?K-', x).group(1)))    # 最低薪资\n",
    "data['high_salary'] = data['salary'].apply(\n",
    "    lambda x: int(re.search('K-(\\d+)?', x).group(1)))    # 最高薪资\n",
    "data['mean_salary'] = (data['low_salary'] + data['high_salary']\n",
    "                       ) / 2                            # 平均薪资\n",
    "data = data.drop('salary', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "**提取“软件能力要求”（software_ability）信息**  \n",
    "软件能力要求（12个）：  \n",
    "- 编程式数据分析工具：Python、R、MATLAB、Julia、SAS(5)\n",
    "- 菜单式数据分析工具：Excel、SPSS、Eviews(3)\n",
    "- 商业智能工具（可视化）BI：Tableau、Power BI (2) \n",
    "- 数据库工具：SQL（Oracle,MySQL，SQLServer）、MongoDB（2）\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:02:53.807984Z",
     "start_time": "2019-01-22T15:02:53.626100Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company</th>\n",
       "      <th>size</th>\n",
       "      <th>quality</th>\n",
       "      <th>emplType</th>\n",
       "      <th>recruitNum</th>\n",
       "      <th>eduLevel</th>\n",
       "      <th>workingExp</th>\n",
       "      <th>low_salary</th>\n",
       "      <th>high_salary</th>\n",
       "      <th>mean_salary</th>\n",
       "      <th>software_ability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>杭州微拍堂文化创意有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>民营</td>\n",
       "      <td>实习</td>\n",
       "      <td>1.0</td>\n",
       "      <td>本科</td>\n",
       "      <td>不限</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>6.5</td>\n",
       "      <td>[SAS, Excel, SPSS]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>浙江华坤道威数据科技有限公司</td>\n",
       "      <td>100-499人</td>\n",
       "      <td>股份制企业</td>\n",
       "      <td>校园</td>\n",
       "      <td>1.0</td>\n",
       "      <td>硕士</td>\n",
       "      <td>无经验</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[SAS, Excel, SPSS]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>印孚瑟斯技术（中国）有限公司杭州研发中心</td>\n",
       "      <td>1000-9999人</td>\n",
       "      <td>外商独资</td>\n",
       "      <td>全职</td>\n",
       "      <td>3.0</td>\n",
       "      <td>本科</td>\n",
       "      <td>3-5年</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                company        size quality emplType  recruitNum eduLevel  \\\n",
       "0         杭州微拍堂文化创意有限公司    100-499人      民营       实习         1.0       本科   \n",
       "1        浙江华坤道威数据科技有限公司    100-499人   股份制企业       校园         1.0       硕士   \n",
       "2  印孚瑟斯技术（中国）有限公司杭州研发中心  1000-9999人    外商独资       全职         3.0       本科   \n",
       "\n",
       "  workingExp  low_salary  high_salary  mean_salary    software_ability  \n",
       "0         不限           5            8          6.5  [SAS, Excel, SPSS]  \n",
       "1        无经验           4            8          6.0  [SAS, Excel, SPSS]  \n",
       "2       3-5年           8           10          9.0                  []  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def del_english(st):\n",
    "    '''\n",
    "    删除全是英文与大量英文的字符串（因为存在全英文的JD,会干扰分析）\n",
    "    '''\n",
    "    all_pattern = re.compile(u'[\\u4e00-\\u9fa5]')\n",
    "    p_pattern = re.compile('[a-zA-Z]')\n",
    "    prop = (len(st) - len(re.findall(p_pattern, st))) / len(st)  # 非英文占总文本长度的比例\n",
    "    if re.search(all_pattern, st) and (prop >= 0.8):\n",
    "        return st\n",
    "    else:\n",
    "        return ''\n",
    "\n",
    "\n",
    "def del_r(st):\n",
    "    '''\n",
    "    删除带有R的与R语言无关的内容\n",
    "    '''\n",
    "    st = st.replace('ERP', '').replace('VR', '').replace('ROI', '').replace(\n",
    "        'EPR', '').replace('CRM', '').replace('HR', '').replace('CRF', '').replace('IAR', '')\n",
    "    return st\n",
    "\n",
    "\n",
    "def extract(st):\n",
    "    '''\n",
    "    在每条jd（type: str）中查找并提取要求的软件能力\n",
    "    返回：列表\n",
    "    '''\n",
    "    software_ability = []  # 初始化“软件能力要求”变量\n",
    "    # 编程式数据分析工具\n",
    "    if ('python' in st) or ('Python' in st) or ('PYTHON' in st):\n",
    "        software_ability.append('Python')\n",
    "    if 'R' in st:\n",
    "        software_ability.append('R')\n",
    "    if ('matlab' in st) or ('MATLAB' in st) or ('Matlab' in st):\n",
    "        software_ability.append('MATLAB')\n",
    "    if ('julia' in st) or ('Julia' in st) or ('JULIA' in st):\n",
    "        software_ability.append('Julia')\n",
    "    if ('SAS' in st) or ('sas' in st):\n",
    "        software_ability.append('SAS')\n",
    "    # 菜单式数据分析工具\n",
    "    if ('Excel' in st) or ('EXCEL' in st) or ('excel' in st):\n",
    "        software_ability.append('Excel')\n",
    "    if ('SPSS' in st) or ('spss' in st):\n",
    "        software_ability.append('SPSS')\n",
    "    if ('Eviews' in st) or ('eviews' in st) or ('EVIEWS' in st):\n",
    "        software_ability.append('Eviews')\n",
    "    # BI可视化工具\n",
    "    if ('Tableau' in st) or ('tableau' in st):\n",
    "        software_ability.append('Tableau')\n",
    "    if ('Power BI' in st) or ('powerbi' in st) or ('power bi' in st) or ('PowerBI' in st):\n",
    "        software_ability.append('Power BI')\n",
    "    # 数据库工具\n",
    "    sql_condition = ('SQL' in st) or ('sql' in st) or ('Orcale' in st) or ('orcale' in st) or ('ORACLE' in st) or ('MySQL' in st) or (\n",
    "        'Mysql' in st) or ('mysql' in st) or ('SQLServer' in st) or ('SQL Server' in st) or ('sqlserver' in st) or ('sql server' in st)\n",
    "    if sql_condition:\n",
    "        software_ability.append('SQL')\n",
    "    if ('mongodb' in st) or ('MongoDB' in st) or ('Mongodb' in st):\n",
    "        software_ability.append('MongoDB')\n",
    "    st = software_ability\n",
    "    return st\n",
    "\n",
    "\n",
    "# 删除文本数据 txt_df 中全是 英文 与 非英文占总长度比大于80%的内容（防止对变量提取产生干扰）\n",
    "txt_df['jobDetail'] = txt_df['jobDetail'].apply(lambda x: del_english(x))\n",
    "# 在其他数据中创建新变量软件能力要求 software\n",
    "data['software_ability'] = txt_df['jobDetail'].apply(lambda x: del_r(x))\n",
    "\n",
    "# 将JD里的英文数据全转为小写，方便查找. ×不可，因为R语言\n",
    "# txt_df['software_ability'] = txt_df['software_ability'].apply(lambda x: x.lower())\n",
    "\n",
    "# 提取软件能力要求信息\n",
    "data['software_ability'] = data['software_ability'].apply(lambda x: extract(x))\n",
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T07:35:02.351142Z",
     "start_time": "2019-01-22T07:35:02.331152Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "419978\n"
     ]
    }
   ],
   "source": [
    "# jobDetail信息写入txt文档\n",
    "jobDetail = ''\n",
    "\n",
    "for st in txt_df['jobDetail'].values:\n",
    "    jobDetail += st\n",
    "\n",
    "with open('Hangzhou_jd.txt', 'w', encoding='gb18030') as f:\n",
    "    f.write(jobDetail)\n",
    "\n",
    "print(len(jobDetail))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 预处理后的数据说明\n",
    "\n",
    "位置数据  \n",
    "\n",
    "|数据类别| 变量名\t| 变量描述\t|  \n",
    "| -- | -- | -- | \n",
    "|公司基本信息|公司名称（company）|字符型变量。如：杭州扬冠网络科技有限公司|\n",
    "|职位基本信息|所在县区（area）|定性变量。共11个水平：滨江区、江干区、余杭区、西湖区、拱墅区、萧山区、上城区、下城区、下沙、桐庐县、富阳区（存在大量缺失值）|\n",
    "\n",
    "\n",
    "\n",
    "文本数据    \n",
    "\n",
    "|数据类别| 变量名\t| 变量描述\t|  \n",
    "|--| -- | -- |\n",
    "|公司基本信息|公司名称（company）|字符型变量。如：杭州扬冠网络科技有限公司|\n",
    "|职位基本信息|职位详细信息（jobDetail）|文本数据。包含岗位职责、工作内容、任职要求等信息| \n",
    "\n",
    "\n",
    "其他数据    \n",
    "\n",
    "|数据类别| 变量名\t| 变量描述\t|  \n",
    "| -- | -- | -- |\n",
    "|公司基本信息|公司名称（company）|字符型变量。如：杭州扬冠网络科技有限公司|\n",
    "||公司规模（size）|定性变量。共6个水平：20人以下、20-99人、100-499人、500-999人、1000-9999、10000人以上| \n",
    "||公司性质(quality)|定性变量。共7个水平：民营、股份制企业、上市公司、合资、外商独资、国企、其他| \n",
    "|职位基本信息|雇佣类型（emplType）|定性变量。共4个水平：全职、实习、校园、兼职/临时| \n",
    "||招聘人数（recruitNum）|数值型变量。取值范围:0-60| \n",
    "||最低薪资（low_salary）|数值型变量。取值范围：1-50千元/月| \n",
    "||最高薪资（high_salary）|数值型变量。取值范围：2-70千元/月| \n",
    "||平均薪资（mean_salary）|数值型变量(（low_salary+high_salary）/2)。取值范围：1.5-60千元/月|\n",
    "|职位要求信息|学历要求（eduLevel）|定性变量。共6个水平:硕士、本科、大专、中专、中技、不限|\n",
    "||工作经验要求（workingExp）|定性变量。共7个水平：不限、无经验、1年以下、1-3年、3-5年、5-10年、10年以上| \n",
    "||软件能力要求（software_ability）|定性变量，设定12个水平，实际8个水平|"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "__________________________________________"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 招聘详细描述信息分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:03:14.271968Z",
     "start_time": "2019-01-22T15:02:59.710156Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building prefix dict from the default dictionary ...\n",
      "Loading model from cache C:\\Users\\mizhu\\AppData\\Local\\Temp\\jieba.cache\n",
      "Loading model cost 1.263 seconds.\n",
      "Prefix dict has been built succesfully.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(-0.5, 799.5, 599.5, -0.5)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Uy7KvriJIQ+GvkprNeEVRaNOnlzjuGJ1MwLsdJMZQB08jnlRbWiKrOW6zFG20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6v+tk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EhU1uvfUJv/rhGwyO9Tl1+TgrG4NDgKz9R0Pe/ulNLj93jhMXNumtdXn1R29y8dlz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903zjGZtXy2M2Rrb8yff+t1jvWPTvVY6/jehzfIivLIRdbaQo/Fbov3bjzk66+c5sef3OWr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\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RMm5NJ6tCUgqeu3wcKQVf+6d3+dJnrrDq+rSVmyYAGKUFQehNtEwsBkVp3fiJslLcfbDD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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 词云可视化\n",
    "import jieba\n",
    "from collections import Counter\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "# 招聘详细信息分词\n",
    "\n",
    "# 清理数据，替换不需要的字符串（只保留汉字）\n",
    "\n",
    "\n",
    "def clean_str(line):\n",
    "    line.strip('\\n')\n",
    "    line = re.sub(r\"[^\\u4e00-\\u9fff]\", \"\", line)\n",
    "    line = re.sub(\n",
    "        \"[0-9a-zA-Z\\-\\s+\\.\\!\\/_,$%^*\\(\\)\\+(+\\\"\\')]+|[+——！，。？、~@#￥%……&*（）<>\\[\\]:：★◆【】《》;；=?？]+\", \"\", line)\n",
    "    return line.strip()\n",
    "\n",
    "# 加载停用词\n",
    "\n",
    "\n",
    "def load_stopwords(file_path):\n",
    "    with open(file_path, 'r', encoding='utf-8') as f:\n",
    "        stopwords = [line.strip('\\n') for line in f.readlines()]\n",
    "    return stopwords\n",
    "\n",
    "\n",
    "stopwords = load_stopwords('stopwords.txt')\n",
    "\n",
    "\n",
    "def split_words(file_path):\n",
    "    '''\n",
    "    - file_path: 文本文件路径\n",
    "    - return: words, 处理、分词之后的有效词语\n",
    "    '''\n",
    "    words = []\n",
    "    with open(file_path, 'rb') as f:\n",
    "        for line in f.readlines():\n",
    "            line = line.strip().decode(\"utf-8\", 'ignore')\n",
    "            line = clean_str(line)\n",
    "            if len(line) == 0:\n",
    "                continue\n",
    "            seg_list = list(jieba.cut(line, cut_all=False))   # 精确模式\n",
    "            for x in seg_list:\n",
    "                if len(x) <= 1:\n",
    "                    continue\n",
    "                if x in stopwords:\n",
    "                    continue\n",
    "                words.append(x)\n",
    "    return words\n",
    "\n",
    "\n",
    "# 得到字典形式的词频数据\n",
    "words = split_words('Hangzhou_jd.txt')\n",
    "words = dict(Counter(words))\n",
    "\n",
    "\n",
    "# 为了显示中文，加载字体汉庭仪旗黑\n",
    "font_path = 'HYQiHei-25JF.otf'\n",
    "wc = WordCloud(font_path=font_path, background_color=\"white\", max_words=1000,\n",
    "               max_font_size=100, random_state=42, width=800, height=600, margin=2)\n",
    "\n",
    "wc.generate_from_frequencies(words)\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.imshow(wc, interpolation=\"bilinear\")  # 绘制并平滑显示\n",
    "plt.title('职位描述词云图', fontsize=15)\n",
    "plt.axis('off')  # 不显示坐标"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以直观的看到，在数据分析岗的职位详细描述信息中，“经验”、“能力”、“负责”等词被提到较多，这符合现实认知，说明企业对于应聘者首先考察的是其“经验”如何、“能力”高低、“负责”与否。另外，数据分析岗最基础的就是“数据”和“分析”，在词云图中也很好的得到了展现。此外，还有“运营”、“销售”等词词频也较高，而这些正是数据分析的一些发展方向。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基本信息描述性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:04:09.966507Z",
     "start_time": "2019-01-22T15:03:32.780856Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "% matplotlib inline\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 公司基本信息分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:05:03.665016Z",
     "start_time": "2019-01-22T15:05:03.117272Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'图5-2 公司性质柱状图')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+HfABYHX1/UDKu1Ld6vuVwOm1tA/Xjr0SOHkuFxsbazE21mqQzR21hj8FLVrT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\nHGDMhJqyN2wFyuqPYZEWdBGTwPZ5wHmSNqfUIvgP8Fbbw9yfeTawfNN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      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 公司基本信息包括 公司规模 size、公司性质 quality\n",
    "size = data['size'].value_counts()\n",
    "quality = data['quality'].value_counts()\n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 4), dpi=100)\n",
    "\n",
    "size.plot.bar(alpha=0.8, ax=axes[0])\n",
    "axes[0].set_title('图5-1 公司规模柱状图')\n",
    "quality.plot.bar(alpha=0.8, ax=axes[1])\n",
    "axes[1].set_title('图5-2 公司性质柱状图')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图5-1 可知：\n",
    "- 公司规模为100-499人的中小型企业对于数据分析人才的需求量最大，且遥遥领先，说明一般中小型企业已经有了一定造血能力，也能产生充足的数据以供分析；\n",
    "- 1000-9999人的大型企业与20-99人的小型企业的需求也不小，一般来说大型企业因为自身的数据量非常庞大，对于数据足够重视，所以对数据分析师也会有较大需求，而小型企业亟需提高业绩，也会产生一定的需求；\n",
    "- 而500-999人的中大型企业、10000人以上的超大型企业对数据分析师的需求较为一般，一者这类公司本身就会非常多的数据分析人才，二者这类规模庞大的公司本身的数量就是有限的；\n",
    "- 20人以下的超小型企业对数据分析师的需求较小，可以理解为这类公司本身缺乏有价值的数据，部门设立是不完善的。   \n",
    "\n",
    "由图5-2 可知：\n",
    "- 民营企业对于数据分析人才的需求占据绝大部分"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 职位基本信息分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**职位位置分布（热力图）**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:05:18.812043Z",
     "start_time": "2019-01-22T15:05:09.751306Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:lml.utils:failed to import pyecharts_snapshot\n",
      "Traceback (most recent call last):\n",
      "  File \"D:\\Anaconda\\lib\\site-packages\\lml\\utils.py\", line 43, in do_import\n",
      "    plugin_module = __import__(plugin_module_name)\n",
      "ModuleNotFoundError: No module named 'pyecharts_snapshot'\n"
     ]
    }
   ],
   "source": [
    "# 杭州发布招聘数在各县区的分布\n",
    "# 需要事先安装中国城市地图包\n",
    "\n",
    "from pyecharts import Map\n",
    "\n",
    "site = site_df.groupby('area').count().reset_index().rename(\n",
    "    columns={'company': 'count'})   # 各地区的计数数据\n",
    "\n",
    "map = Map(\"图5-1 杭州市各地区数据分析岗招聘数热力图\", title_color=\"#fff\", title_pos=\"center\",\n",
    "          width=1200,  height=600, background_color='#404a59')\n",
    "attr = site['area']\n",
    "value = site['count']\n",
    "map.add(\"\", attr, value, maptype='杭州', visual_range=[0, site.max(\n",
    ").values[1]+1], visual_text_color=\"#fff\",   symbol_size=15, is_visualmap=True, is_label_show=True)\n",
    "map.render()"
   ]
  },
  {
   "attachments": {
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     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9B%BE5-1%20%E6%9D%AD%E5%B7%9E%E5%B8%82%E5%90%84%E5%9C%B0%E5%8C%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%B2%97%E6%8B%9B%E8%81%98%E6%95%B0%E7%83%AD%E5%8A%9B%E5%9B%BE.png](attachment:%E5%9B%BE5-1%20%E6%9D%AD%E5%B7%9E%E5%B8%82%E5%90%84%E5%9C%B0%E5%8C%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%B2%97%E6%8B%9B%E8%81%98%E6%95%B0%E7%83%AD%E5%8A%9B%E5%9B%BE.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图5-1 着色部分可知，相对于其他县区，杭州市的滨江区对于数据分析人才的需求最大，余杭区占其次，再者是西湖区与江干区。而富阳区以及桐庐县的岗位需求相对较低。一定程度上，地区对数据分析人才的需求大小也对应了其经济发展的程度的高低。若期望未来职位能有好的发展，择选滨江、余杭等地区就业会是不错的选择。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**职位类型、招聘人数、平均薪资水平**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:07:12.292209Z",
     "start_time": "2019-01-22T15:07:10.319019Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'图5-5 平均薪水直方图')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tz7Xfk6ThZ/8uaTKsVJAkSZIkSY2YVJAkSZIkSY2YVJAkSZIkSY2YVJAkSZIk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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1296x360 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "emplType = data['emplType'].value_counts()\n",
    "recruitNum = data['recruitNum']\n",
    "salary = data['mean_salary']\n",
    "\n",
    "# 创建 1 * 3 子图\n",
    "fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n",
    "\n",
    "emplType.plot.bar(alpha=0.8, ax=axes[0], rot=0)\n",
    "axes[0].set_title('图5-3 职位类型柱状图', fontsize=15)\n",
    "\n",
    "recruitNum.hist(bins=50, histtype='bar', align='mid', alpha=0.8, ax=axes[1])\n",
    "axes[1].set_title('图5-4 招聘人数直方图', fontsize=15)\n",
    "\n",
    "salary.hist(bins=50, histtype='bar', align='mid', alpha=0.8, ax=axes[2])\n",
    "axes[2].set_title('图5-5 平均薪水直方图', fontsize=15)\n",
    "\n",
    "# data['mean_salary].describe()\n",
    "# hangzhou_df.iloc[data[data['mean_salary'] == 1.500000].index]\n",
    "# hangzhou_df.iloc[data[data['mean_salary'] == 60.000000].index]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由图5-3 可知，公司总是更偏爱于招聘全职的数据分析师，雇佣类型实习和校园相似，需求量极小，兼职\\临时可能是公司需要数据分析师来解决一个临时的难题；  \n",
    "\n",
    "由图5-4 可以看到，这个图非常丑陋。从图中看数据呈现严重的右偏分布，且存在不少极端值，那这些极端值究竟是否是异常值呢，说不好。因本人对于公司一般招聘的人数需求不了解，但这类社会经济问题，通常是会存在不少极端值的（比如大公司数据部门需要彻底换血等等）。唯一可以确切的说的是，公司招聘数据分析师的人数一般会控制在1-10人；   \n",
    "\n",
    "由图5-5 可知，职位平均薪水是呈现右偏分布的。具体来说，数据分析岗的平均薪水的均值为 9.82千元/月，中位数为 8.00千元/月，这以现象大致符合认知，即存在少数的高薪精英人才拉高了平均值。在本数据中，平均薪资最小值为 1.50千元/月，所对应的招聘职位是国企的“实习研究员”，一般国企给实习生开的工资是很寒酸的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 岗位要求信息分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**学历要求、工作经验要求**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:07:20.196653Z",
     "start_time": "2019-01-22T15:07:18.429295Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'图5-7 工作经验要求饼图')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5F/WogknWFvhsc1hf1a04nZjiHAWlcQuGfzTH3Nkr0MD69y8otHfuJcxk7kSt9R6rwZqH\nuTM6gpNQSvXmWI/WZGCl1ZP2OpCqlPJorQv7Hjit45OBu7TW7ZQpDNIE+Nl3R6txzvHblg3MUkp1\nBHphipW0NC/pgl7Bk4UthBAVWhm3cQX6Y9q44txwKyvPKaWe9Xl+AFMMCsyQxcWYHq5MYKbWeg6m\nrS5Y6zJWa32H7wmVKTvfDlNVsTWwnmMVIedges5WAq0wI2YKRougtX4Oq0iG1T5/jimk0V9rnaWU\nqom5cZmstZ5wsjdlJUVvYxK27Zg5fdOVUhOAd5VS/XXh1SydgNNqg9torS+1hibm4neT2Eom8/22\nndbvlRCFkcRM+Arze+7FfHC+hLlL9hvHSrDDsd+fxcDbSqkNmOF+DwG1MROET2Uh5kP/PauBqIcZ\n5/6t1vrAqQ7WWscVtl0p9Slmcu9jRRx+AeZunMc6pjZmuMR7ftduDBwpbB6Xz5CJCEzxEDemF2oH\nptJUYbFVw6wfdjOm8pRbmbVmCjyJSRjnK7PGS4bfKZphFh293zoHmO/ZAq11USX+/X++IZjKUvMw\nQz2exhRIKSCfD0KIYGJHG1fgckxVx2KXSi+Yx4QpPX/K46wer3BOXCfzZJ7RJ5bLB0D7LOKslDoL\naK2UqqG13neKc16AWQN0LpCBucm623ptISYhG4ZJdlpy/M1TX9dhFnzOBkZbbevtwP+dLCmzksLX\nMT/T/lprjzKl9Qvcg0kO06229Re/UzTDLIFTA7jZ+v6/BEzSxxfp8nemv1dCnEB+OYSv434ftNY/\nYopT1MJ8IG702z/M2u8ba0jhaOsci4EErfWfnII1bv1iTPnepZhkYRpwX4neSfGWgrgNWKe1XqfM\nwpGTML1izwAopRoCFwF3YHr2Cot/DtDE6rF6AFP6NxtTtesFZdY6m18wZt6aE+ax9ulqTTqGY2uN\nobXOVqby1ShgnlJqPHCnthbCxNyJXIU1TFOZoiMDMXc28Tmfg+P5/3w9wK3KLMp5gxWzL//GRggh\nKrIyb+N8JGFuup2OAZh26WQ9LRtOsn0wx+Z4FbSFIX77HNdGWInfUeta0cCXmLYmBrOUymrgKaXU\nfv8k0erdKhj1MgNTmr5gCsG9wB6r7XtbH6sifAPwI5Cv/KoWW/F8jVnIuQUmkfvMOn+0Mot9T9da\nL/GJob4V4xqgs9a6YG6d73vcZw2tHIcZ5vkR8KDPUMqmmDl0AzHD+/+HuQl6/cm+b5Yz+r0SojCS\nmAlfYZi7RDef5PXX/RqBv9dC0Vr/B1NF8LRZvTzXnMmx/pSpqnQBZtjIm0XsdzZwN2ZOWA3MHb58\nTMGNgp6xQ5getL2Yik6+xw/ADHGsDnTCDGvJwzSIX2DWJRuEmTDutIZQPKq1PmpNEF6nrXXSrLH8\ng/AZumk1Uncopf4P2OuTlIGZbD5Sm9LFj2HG9l/kd/cvAp+7n5YwzGKhJ73z6vfz9V9aQAghKjJb\n2jjr+GLN9fLzf5jCUdkUb1HiEMznvu8wvXDr30i/fQtrIwDQWh9QSk3E3JBcrLU+pEz1xZWY+WV/\nx6LMws1OTIXjhlZClGslQP/GFPd6H7PeZt9C2p99mPb3bqvX7jrM3K461rHdMG3jIMwcsQutx98r\npfZjEsintNY7lFKDgEUFSZ5SagRwMSaxLHhv+5VS/TFz5+b5JGVgRqGgtT6slHoVM6Kkjz5+aYOT\nta1n9HslhD+H1ysLkAvDursT4nOnqcKxhhbehqluOKqoYRfWHKsN1l206pjSt3/57VPTf5u1/TpM\n6eR1mKEKP2qtC6vIGAZcgVmvZcxJ4uiLmQQ9XmudWcy36nt8lC5G9UrrLmjVk8xbE0KIoBYMbVxF\noZSqg1kbbAVmakKx1vFSSj2CSbx+BZYBbq31CUXAlCm9fz2mqvL0k5zrasxcr3H6DJaBOY22VX6v\nRMBIYiaEEEIIIYQQNivOPBwhhBBCCCGEEKVIEjMhhBBCCCGEsJkkZkIIIYQQQghhM0nMhBBCCCGE\nEMJmkpgJIYQQQgghhM0kMRNCCCGEEEIIm0liJoQQQgghhBA2k8RMCCGEEEIIIWwmiZkQQgghhBBC\n2EwSMyGEEEIIIYSwmSRmQgghhBBCCGEzScyEEEIIIYQQwmaSmAkhhBBCCCGEzSQxE0IIIYQQQgib\nhdodgKhYlFJDgSNa6498toUDHYAuwGXAy8BirXWWUioV+D+t9Y+2BCyEEEKIckkp5QBCtNa5J3nd\nCaC1zi/TwISwiSRm4pSUUqE+H5o5QK7va0AV4FqgOzBEa71SKfWWUmomkGd9CSGEEEL4agR8q5TK\nsp6HYm70LrWehwCvKKU+BtYDO4EM4GpgLxAGbNFa31SmUQtRShxer9fuGEQ5ppSqDUzCJGSRQA/r\npTmYBC0MuAnYDrwPvABsBqKAqcByYJLWenaZBi6EEEKICkUp9RgQprV+2W/7FOAzoC5QDXNDeDUQ\nDfTWWt9e1rEKURqkx0wUSWu9B0gEUEoNARyYuYkfaK3HWtv7At8A5wDtga+AfKAv8KINYQshhBCi\nAlFKxQDPAH2UUjFa601+uwwCngCuAfYBuzA3jaWHQQQNKf4hikUpVQe4DhgLjAH+qZSqCaC1ngn0\nxyT6s6yvhpgeNCGEEEKIk1JKVcf8bbEY87fpF0qpK/x2ywYOW49vBZ4CHgXCyypOIUqbJGbilJRS\nEcCXwNOY4YsHgf8Ck5RSda3dHgB2YIY93gC8ghkH3hZIVkr9s6zjFkIIIUT5ppSqB0zBjLBZgxlx\ncxXwvFKqv8+uKZgeM4Bk4HetdSLm7xMhgoIkZqJISqkWwI+AB/OhORTzgfg4Zp7ZYqVUHKYi4yxM\nchYJfATUwXzAjtJav1f20QshhBCivFJKtQG+B57VWk8v2K613gVcCbxtzXUH+BNTGKTAQaXUKKC7\nVYhMiApPfpHFqeQDI7XW38Lf88yOaq1HW8/HAkeAhzDDCtBaJxccrJR6BThQ1kELIYQQotxbB1xR\nyHwytNbrlVIdtdb7lVIAE4EPMZUcAUYDT2it7y2zaIUoZZKYiSJprTcCG302heAznltrrQseW+uZ\nhfmdIgyIKL0IhRBCCFERaa3zAN+kzIkpMlbw+n7rYQhwrdb6oFLqKUy5/J+B7dZ6qcO11kfKKGwh\nSo0kZuK0aK3fLOK12wrZllzYvkIIIYQQfiIo/G/TEK31Qetxc8waZmOAo8AIoA8wrUwiFKIUyTpm\nQgghhBCiQlBKhWqtc+2OQ4jSIImZEEIIIYQQQthMqjIKIYQQQgghhM0kMRNCCCGEEEIIm0nxDxGU\nPG6XA7OO2llAA6Aappqk71dYIducmPL/B62vAz6P/b/2xSWlylhgIYQQQghRYjLHTFQ4HrcrCmgD\ntAQaYpIv368GQH1OLN0faNnAFuD3Qr42Ab/HJaUeKuUYhBBCCCFEEJDETJRbHrerKtAWOMfvqzkV\nZxjuHsw6cKuBZcByYHlcUupeO4MSQgghhBDliyRmolzwuF31gO5APNABk4DF4LPQZJDZhEnSfJO1\nTUUfIoQQQgghgpUkZsIWHrerLZAA9MAkZC3tjahc2AMsAn4EfgBWyBw2IYQQZc3jdjmBGkBtoBZm\nDnaO9ZVbyOMTtsUlpeaXfeRCVGySmIky4XG72gB9gN5AImYemCjaLmAmVqIWl5S63uZ4hBBCVEBW\nohUDKKARxxKuWj6PfbfVoORTBo4A262vbX6P/8CMHNkUl5T6VwmvI0TQkMRMlAqrEegBXGl9tbA3\noqCwkWO9aT/GJaXutDccIYQQ5YnH7aqGSb7a+PzbBmgFRNoYWlH2c6xw1jrMEP9lwJq4pNRcOwMT\noqxJYiYCxuN2RQIXYRKxgZjKiKJ05ANzgfHAxLik1C02xyOEEKKMeNyuMKAzEMex5KsNpjcsWBwF\nVgFLra9lwMq4pNSjtkYlRCmSxEyUiMftqglcBgwCLsasFybKlhfIAL4FxsUlpf5pczxCCCECyLrx\n2RUzNzsRUyirqq1B2SMX+IVjidpSYElcUuphW6MSIkAkMROnzeN2hQCXAvcA/Sn99cJE8eUDc4Cv\ngPEydl8IISoea7mY7hxLxLoAEbYGVX5lAT8B04HpcUmpa22OR4gzJomZKDaP29UMuBu4A2hsazCi\nOLKBqcD7wPdS4VEIIconj9sVDvTFFMlKBM5HbnqeqY3A/2EStR/jklIP2RuOEMUniZkoktVYXAEM\nBi6k4izsLI73K/Au8ElcUup+u4MRQojKzponlgRch2lna9gbUVDK5vjetDU2xyNEkSQxE4Wyytvf\nA9wG1LM5HBE4B4EvgbfjklJX2x2MEEJUJh63KxRTJOs6TKGsWvZGVOn8DkwDxsQlpc61Oxgh/Eli\nJo7jcbt6AU8Al9gdiyh1c4C3gf9JSWIhhCgd1rzsvsD1mGSsjr0RCcs64FPgM6lsLMoLScwEAB63\nqz8wDOhpdyyizG0B3sH0oh2wOxghhKjorLU8e2OSsauAurYGJIqSB3wPfAxMjktKzbY5HlGJSWJW\niVkNxzWYhKyjzeEI++0BRgBvxiWlHrQ7GCGEqGg8blc0pkjWA0BLm8MRp28Ppqrxx3FJqcvsDkZU\nPpKYVULWhOPbgMeB1jaHI8qfXcB/MT1oUs1KCCFOweN2tQSGAncC1W0ORwTGCuATzHy0XXYHIyoH\nScwqESshuw+TkDWxORxR/u0E/gO8E5eUesTuYIQQorzxuF19gYeAAUjV4mCVjSma9XJcUmqm3cGI\n4CaJWSXhcbuuAFKBVnbHIiqcbcCrwPtxSalH7Q5GCCHs5HG7IoGbgQeBDjaHI8pOHvAN8KJUNRal\nRRKzIOdxuzoCr2EWrRSiJLYCT2HWQpMPDiFEpeJxuxoCQzAjT6SYR+XlBSZjErQldgcjgoskZkHK\nakBe9Hq9tzscDhleIQIpAxgSl5S61O5AhBCitHncrgbAM5i1PcNsDkeULzMwCdpPdgcigoMkZkHG\n43ZFAcler/dfDoejmt3xiKCVD4wCnoxLSt1jdzBCCBFoHrerGvAYkAxIeyqK8hPwQlxSqtvuQETF\nJolZEPG4XTd5vd5XHA6HFPYQZWU3ZkHyj+KSUvPtDkYIIUrK43aFAvcCw4EGNocjKpbFwPNxSalp\ndgciKiZJzIKAx+1qium9uNjuWESltRh4IC4pdZHdgQghxJnyuF3XAi8ihbJEyfwAPBiXlLrW7kBE\nxSKJWQXmcbscwL1erzfV4XBE2x2PqPS8wGjgXzK8UQhRkXjcrkTM8iBd7I5FBI0c4E3gubik1AN2\nByMqBknMKiiP29XM6/V+7HA4pNqiKG+2AnfFJaX+n92BCCFEUTxuV3vgFeAyu2MRQWsb8C/gC6lo\nLE5FErMKxuolG5Kf733F6XRUtTseIYrwLuCKS0o9bHcgQgjhy+N21QZe9Xq9d0nlYlFG5mOG/C+z\nOxBRfkliVoF43K6W+fnej51OR4LdsQhRTBq4NS4pdbHdgQghBIDH7brB6/WOdDgc9e2ORVQ6UtFY\nFEkSswrC43Y9mO/1vuJ0OKLsjkWI05QLPI9Z6yXP7mCEEJWTx+1q4vV633U4HAPsjkVUeruBp4BR\nUtFY+JLErJzzuF018vPzP3c6nZfbHYsQJbQQ03u2zu5AhBCVhzUF4AGv1/uSrO8pypmlwB1xSak/\n2x2IKB9kXHU55nG7Oubm5v0sSZkIEl2BZR636z67AxFCVB6PDJ8Usnff4VslKRPl0PnAIo/bNdTu\nQET5ID1m5dSCqY/eFxrieMvpdIbZHYsQpWAMMDguKfWI3YEIIYJXQnxsK+CKs8+q0ejhwYn/DAsL\nibA7JiFOYjpwZ1xS6na7AxH2kcSsnPG4XVFHjuZ8EhUZdr3dsQhRypYCV8YlpW62OxAhRHBJiI8N\nBwYB7TAFF7ji4vadevdoJSNQRHm2A5OcTbM7EGEPGcpYjnjcrlZZ2bkrJCkTlcT5wBKP2yVVRoUQ\ngeYEWmIlZQCTZ6xatm3H/t/sC0mIU6oPTPW4XW963K5Iu4MRZU8Ss3Ji4bTka/Py8pdHhIe2sjsW\nIcpQfeAHj9v1gN2BCCGCR3pG5lFgGhDiu/2riZ7vcnLzsu2JSohiGwosthZAF5WIJGblwNzJD6WG\nhjq/CQlxVrE7FiFsEAa85XG7PvK4XeF2ByOECA7pGZnLgUzfbZv//Gt/xpKNbptCEuJ0tMckZ1IY\npBKROWY28rhdYfsPHP22enR0fffIAAAgAElEQVTkFXbHIkQ5kQFcHZeU+qfdgQghKr6E+NiqwCNA\naME2hwP+PfSi2+rXjW5uX2RCnJbpmLL6O+wORJQu6TGziXvc/dX37T+ySJIyIY4Tj5l31tnuQIQQ\nFZ8a/k2dWl0v+xmfIY1eL4ydtPS73Nz8HBtDE+J0XAos9bhdHe0ORJQuScxskPb5vU0jwkNX1age\nJf/BhDhRQ2Cmx+3qY3cgQoiKa/C0pfcAP9e/+PZ/4QxZ7/vaxs17/lq4bNMPNoUmxJloBMz1uF0D\n7Q5ElB5JzMrY5E8Hd65Vs8ryalUjmtgdixDlWDQw3eN2SY+yEOK0DJ62tOHgaUunAR8C1YFusa7R\nDYA83/0mTFm+aOfug5vsiFGIM1QV+J/H7XrY7kBE6ZDErAyN/+iuKxvUi06PigyrZXcsQlQAEcAE\nj9t1h92BCCEqhsHTll7qzc9bhRn69beQiCrDa8Vftga/IY3jJi/9Li8vP7es4xSiBJzA6x636x2P\n2xVyyr1FhSKJWRmZMPruoU0b1/o2LCwkyu5YhKhAQoCPPW7XI3YHIoQovwZPWxp2d9ri17xe71SH\nM6R2IbtE1et320M4HBt9N/62cfeexct//7FsohQioO4Hpnjcrmi7AxGBI4lZGZj48d0vxDSuNTLE\n6Qw99d5CCD8O4DWP2/WC3YEIIcqfwdOWNs/LyV7sDAl5xOFwOE62n8Ph6BX72OjawHE9ZN+mLV+4\ne++hzaUeqBCBdwkwz+N2NbU7EBEYkpiVsq/fv+O1po1qPVlUYyGEKJYnPW7Xux63Sz63hBAA3DN1\nyXX5eXk/h4SFn1ec/UOiqj1TI67fWnzK5+fne73jJi+bLEMaRQV1LrDQ43ZdYHcgouTkD5xSkhAf\n6/j8zVveb9Wi3iOSkwkRMP8EvvS4XdL7LEQlNnja0rC7Ji8c5XA4xzlDQqqexqFVG/S/Z4j/kMZ1\n63fuXvrzH7MDGqQQZecsYI7H7bra7kBEyUhiVgoS4mMdd1zf5ZN2bRreZ3csQgShG4FPPW6X3PEQ\nohIaPG1p3dyso/NDwsIGn8nxDoejT8tHR0XjV6Vx3OSl8/f8dXhLQIIUouxFAd963K5H7Q5EnDlJ\nzAIsIT7Wcdu1F4w+r12j2+2ORYggdjPwtt1BCCHK1l2TF56Xm521OjQiskSL0IdWrfFc9XN7rcan\nSmNentc7Pm355Pz8/LwiDhWiPHMAIzxu1zC7AxFnRhKzAEqIj3XecOX573Zs3+hOu2MRohK43+N2\nvWR3EEKIsnHbuFk3OpyOhaHhEfUDcLros6584D7gD9+Na9dt37ls1ZY5ATi/EHZ6yeN2PW13EOL0\nSWIWIAnxsc6rB5w38oKOTe+TOWVClJlhHrfrcbuDEEKUnsHTljpuHTtzRHi16mOcIaERgTqvw+FI\navnI+xFAvu/2r/+3dN5f+45sDdR1hLBJisftes7uIMTpkcQsABLiYx2XJ7V/tXvn5vc7nZKVCVHG\nXvW4XffaHYQQIvAGT1sannVg/4zIGjUfLY3qxqHRtVOqte26Cp8hjbm5+fnjpyyfnJ/vzS/iUCEq\nguEet+t5u4MQxSeJWQklxMc6Eru1/HdCt5YPO50O+X4KYY/3PG7XDXYHIYQInDsmzI3OOrB/UUR0\n9X6leJkaZ1/z6F3AcUU/Vutt21eu+fOnUryuEGWlr8ftirQ7CFE8kkiUQEJ8rKOdOuueS/q2fTIk\nRBaPFsJGTuBzj9vV3+5AhBAld/1Hkxvl5+X9HBFdvVjrk5WEw+G4rMWD7zgAr+/2ryZ60vcdOLqj\ntK8vRCn6Cbg4Lin1qN2BiOKRxKwEGtSLvuq6yzu9EBkRdjprqAghSkcYMN7jdvW0OxAhxJkbNHJM\nh6hatZdHVIuOKatrhtWs92LV2E4/4zOkMSc3L3/StBX/kyGNoiLyer1zgEvjklIP2h2LKD5JzM7Q\nRQkq4Y7ru7xaPToyENWhhBCBEQVM8rhdze0ORAhx+q5844u+NZu2mBsWVbVuGV+6VqMb/30rcFzR\njxWr/9y6Wm+dX8axCFEiO3cfXD9x2srr45JSD9kdizg9kpidgYT42HPuvjF+xFn1q7e0OxYhxAnq\nAmketyva7kCEEMV35RtfXle7ReupoRERtvzfdTgcVzYfMjIPvyGNYyZ4Zu8/eHSnHTEJcbp27Dqw\nbtK0lX1fGunebncs4vRJYnaaEuJjz77hyvP/27pl/RItbimEKFXtgK88bpd8xglRAQz4z0e31WnR\n+ouQ0DBbixSE12n4QpXm7Y+r0piVnZs3efrPk/Pzvd4iDhXCdtt3Hvh14tSVF37wxbxNdscizoz8\n0XIaEuJjq12U0PqlLp2aXmJ3LEKIUxoAuOwOQghRtEtS3r6nQZsOHzpDQ8PtjgWo2/iWp68Hjutt\nWPrzH1vWrtu+wKaYhDilbTv2/zJh6oo+H46Zv9nuWMSZk8SsmBLiY0PjOjR++uLebW8qjbVUhBAB\nNwP4wO4ghBAn1++pEf9s1PGCd8pJUgaAw+G4ttk/Rhzx3/7l+MWzDh7K2m1HTEIUZev2/Wu+TVve\nZ/RXC/70fy0lOa2OHTGJMyOJWTEkxMc6GtSNHnzVZefdFxrqDLM7HiHEKaUC/eOSUv+yOxAhROEu\nfOI/9zft0vMNZ2hYuUnKCkTUb/JSZOPWxw1pPJqVm/vdjFWTvV4Z0ijKjz+371s9bvLSPp+OW7jN\n/7WU5LT7gXUpyWmdbAhNnAFJzIrnsluu6fxglajwGnYHEmwOHsrm5192sP9gVqleZ9/+o+TmScXj\nYJeXl5+7YMnG9+KSUh+PS0qVH7gQ5dSFw/5zb0x84mvlMSmz1G965/ODgOOKfixe/vvmXzJ3LLIp\nJiGOs2XrvpVfTfT0/mL84hPW20tJThsKvAPUAr5PSU5rX+YBitMmidkpJMTHxl8z4Lwhjc+u2cbu\nWILNwcPZpH6wkN82/cWLb85n/4Eshg7/nudHzuP5kfP4/c/9hR63eMXWv/cZPuInXn7HDPvPys5l\n2Cuz/95vxpwNPJWaztGsXFas3UloiPy6B7MjR3P2j5noee+b75a9bHcsQoiT6538/B0x8YkjQ0LD\nIuyOpSgOh+OmmHteOQAcN33hy/FLfjx0OGuvTWEJAcAff/614pvvlvUZO8mzy3d7m5ZdHI//4/Nn\ngTd9NtcBfkxJTlNlGaM4fQ7pkT+5hPjYpue2PfuJ26+74J6QEGfIqY8Qp2Ptul2Ehjpp1bw2Yyat\nJrpaOIcO53DjFecU+xxpP2TSoG4VOndoyIhRi9i8dT9vPtcPgFFfLadl05o0bFCNg4ey6dLx7NJ6\nK8Jmu/Yc2vzpuIVvb9m67+30jMzDdscjhChc/D2PXtW2/9WfhkZGVZTlLLZuHPWvh7O2bWgP/N0L\nHx8XE3Pd5Z3ukCnnwg6b/9y7bOykpX3HTV563HD9Ni27OBO6Xv9F44atbzrJoZuA+OEjBp4w7FGU\nD9KFcBIJ8bHh0dUibr3u8o7XSlJWOtq2qkur5rVZm7mb3zbtJTwshKWrtvNUajqjxiwn7xRDD7Oz\n8/j5lx1/J1z33Hge9WpXObaDF3LzvKxcu5PzzpF1wINV5oady157f9bjW7bu+68kZUKUXx2vu+uS\n1klXfFCBkjKAhjGDX74M2OO7McOzadO69TsX2xRT0Nq994SaK8LP71v2ej7/ZnFiYUlZYvwNXxWR\nlAHEAFNTktOqlW6U4kxJYnZy1911Q9frqlWNqG13IMHM6/WSsXQLVauE06xxDZ54oBsvuBLIzctn\n+ZoThkwf56fFm+neuTEATqeDWjWOX/7m3Db1WLZ6G3VqRvLfDxax+tddhZ1GVFD5+d78eYvWT3vn\nk7lDZ8xe+3V6RqbMKROinGpzyVU92l1+w6iIatF17Y7ldDkcztua3vn8XvyGNH4xfskPh49kB32B\nocNHcnj13QxefmcBr324iNzcfPbtP8pzr88t8rgNm//ixbfm8+xrPzH1x0wAcvPySf1gIc++9hOz\nF/wOwNffreHldxbg9XqlnT6FTX/sWTxmwpLeE6etOOC7vU3LLs7e3W4a1+isVtcX4zTnA9+mJKeF\nlk6UoiQkMStEQnxs/MCkdtc2a1qng92xBDuHw8Gd13WgydnV2bvv6N/JVYumNdm242CRxy7wbCG+\n08mHJ3aLa8TVlyqqVAmjU7sGLFp+QhVZUUFlZecenjB1xejxU1Y8mJ6ROc/ueIQQJ9eiZ7925117\nx0dVatdtYncsZyqqiXohvG6j1fj83XTwUFb29B/XptkYVpmYt/gP+vdtwbAh3ahRPYL5nj9478tl\nZGXnFXncZ9/+zD9u6cQzj/Rk0Yqt7Nh1iBlzNtC8SQ2efbQXC5f/yZGjuew/mE3zJjXY+Mc+6taO\nKqN3VfFs+H13xodfLugzfsry4/44atOyi7NP95vGn92g5TWncbpLgPcDG6EIBEnM/CTExzZs3bL+\nzQnxsZfaHUuw++77daQvNOsgHj6Sw+hxK9n0xz7y870sWbmNpo1OXgRz5+7DREWGERlR9A2fbTsP\n0aBuVcJCnch0yuCwb/+R7aO+mP/q/MUbXOkZmb+V9HwpyWnVUpLTbg9EbEKI48V0TWzS8Ya7P67e\nsHFFL6DVuNk/RyQBxxX9mLto/frMDTuX2hRTmeiX0Jxz25jpAAcOZlOvTlUevLMzUZFFt78HD+dQ\np1YUDoeDalXDOXI0l7XrdhHfqREAbVvWYf3vf4EX8vK9/JK5m7axsuRWYTb8vnv+p+MW9Z0+c80h\n3+1tWnYJ6dP95kkN67ccdAanvTslOe3pAIUoAkQSMx8J8bGhEeGhN9006PxrZb2y0te3RwxzF28m\n5Y255Od7Gf5wD979YinDXplNq+a1OLdNPQ4eymbUV8tPOHblLztoc4oP8MNHcqhZPYJGZ0Uzc/4m\n2qsKN4JG+Pl9y961r30we9j6TbtfSs/I3FfS86Ukp7UEMoBPU5LTbi55hEKIAjFdE+u0u+LG9+q0\naN3F7lgCweFw3t3ktuE78fvb6YvxS9xHjmQXXkY4iPy6YQ+HDufQNrYOVaJO/SdS6xa1mTFnA/OW\n/MGu3Ydp2qg6Wdl51K5pRsZUrRrGvgNZNG4Yza49R3A4HKS8MY8t2w6c4syVy28bd8397JvFF075\nftVxE/DatOwS0rfHLd81rN/i8hKcPkVuTJYvUpXRR0J87HW3X3fB/R3bN060OxYhxDFer9e7dOUf\ns76csORFYFZ6RmaJP7hSktP6AeMwa7wAHAG6Dx8x8MQ7AUKI0xLTNTGqadeE19XFV9zrcDiDqXTh\npvVvDf1Xzt7t7fCp0pjQrWXsoEs7BO3NnYOHsnn5nQU8fM8FfxfZen7kPJ5+qMdJj8nPN3PGxk/7\nhX69mtHzgiaMGLWIu2/oQM3qkUyd+Rs1q0fQo3NjPD9vY/+BLI4czSXf62XAhbFl9dbKtXUbds55\n95O5l6RnZB713d6mZZfQC3vcOqVBvWYXB+AyOUC/4SMGzgnAuUQJSY+ZJSE+Nq51y3p9Opxzdk+7\nYxFCHJOTm5c15fvVY76csGRoekbmzEAkZcOGfPW01+v9P44lZQBRwKSU5DQZSyNECcR0TQyt1SzW\n1arvZbcFWVIGENN8yMjewHE9ZOkLfstcv2l3UN7Uyc3NZ+THS7jh8rbHVz4+BafTwdkNTPG/Hlah\nruZNaqB/MwUuf9+y7+/zHT6SQ2REqDXtQDoMANat3znz3U/mXlxYUnZRz9umBSgpAwgDxqUkpzUK\n0PlECUhiBiTEx9ZyOOh/7cBO/Z1OKY0vRHlx8FDWnk/GLhw5c+665PSMzDUlPV9KclrEsCFj/xcV\nGZ3icDgK+/xrBnxa0usIUVnFdE10hFerfue5g265PyQ8PCgrOTiczvsa3ThsKycMaVw84+jRnKAb\nhzdrwSY2bN7H/2as4/mR81jg2XLCPqv1TmbM2XDC9m+mrOXGy8+hYL23Xl2bMH6a5rPxP7Nl20Fi\nm9Vi646DxDSqTsuYmsxI30DbWJl28OtvO35499O5/dMzMrN8t7dp2SX0ol63z6hfN6ZfgC/ZAFOp\nUabx2KzSD2VMiI91AHdf1b/DFb3iWw6wOx4hhLF1x/7fPhmb8cbO3YdGpWdkZpf0fMMfnnh2Xl7u\njxHhUcUpQjBk+IiB75b0mkJUNjFdE5O63vPw6zUaxZxjdyylbP1vI+9/KnffrjbA339I9e3ZqvXA\npPY32hhXubd331H0b7vp0LZ+seaqVTa/ZG6f8cHn8y/3b/e6duwf1qXjgO/r1WlSmtNt3hk+YuAD\npXh+cQrSYwadGzao3i4+rlmg7z4IIc7Qql+2zh/x3qyHdu4+9E4gkrKnHxzfAy+ri5mUAfw3JTkt\n2P+wFCKgYromtm93xY2PV4KkDKBFi6FvdQeO6yGbOXfdrxs37/nZppgqhFo1Iok/v5EkZYVY++u2\n6R98Pn9gYUlZ104DfyzlpAxgSEpy2q2lfA1RhEqdmCXEx0YC/W4aFHdxWFhIhN3xCFHZ5eXl5/6Q\nrieM/ipj6Kx5v04NzHyysfeHhITNDg0Nq3kah0UBY1OS0+RzQYhiiOmaWL9J5x6Pnn3eBX3tjqWs\nOJwh9599zaObgeOmQHwxfvH0o1m5h05ymBCFWq23pY36csEV6RmZOb7bE7peG9H1/Mtn163duFcZ\nhfJBSnLaeWV0rRJTSkUopVraHUegVOrEDBh0Ya/W5zY+u2ZbuwMRorI7cjRn/5iJnvem/rDmkfSM\nzBKvC5SSnBY6bMhXn0ZFVnvH6XQWveBO4ToAr5Q0DiGCXUzXxPAqderd1+rCAdc4CiYTVQ7O6HPi\nU0Kq1VwL/P2+9+w9fGTm3F+n2hiXqGBW/bJ18kdjFlzln5T17DwoslO7i2bXrdWoexmGEwVMTElO\nO52bmXa6CXjL7iACpdLOMUuIj1XR1SLuGvZgv39GRYZF2x2PEJXZrj2HNn86buFbW7bueyc9I/Nw\nSc+XkpxWJyvr8IyIiCpxJTyVF7h0+IiBM0oakxDBKKZrogO4vdt9j/07+qxGyu547ODNy3vt1xdv\n3A4cV7Lwkft6X9O0Ua12NoUlKoif1/458eOxC69Pz8jM9d3es/OgyM7nXZpeu2bDC2wKbdLwEQOv\nCuQJlVKhwHrrC2Co1vqEob9KqSrAfK11R59to4FzgKla6xesbfWA5cBvmEqpDYGCwjxRWus+gYy/\nLFTKHrOE+NhQYMBNV8X1lqRMCHtlbti57LUPZj22Zeu+EYFIyoY/PLFDTm7WmgAkZWDugn+akpxW\nLwDnEiIYXdjm0quuq6xJGYAjJOThhlcO3YDfkMYvxy+ZlpWdW+LPNBG8Vq7589vCkrLe3W6o0vm8\n/nNtTMoABqUkp90R4HN2AMZqrXtbX4UlZSHAN0BNn21XASFa625AC6VUK6VUGDAGeEtrnaC1HgDk\naK0HaK37V8SkDCppYgZcGtu8brPWLep3tjsQISqr/Hxv/txF66e988ncB2bMWvtNekZm/qmPKtoT\nD3x9o9PhXBQWGlE/EDFazgJGB/B8QgSFmK6JzerGth3UOK57ZS+e5azeoddzzqhqv+AzpHHn7oOH\n58zPnG5jXKIcW75qy9effL3wRv+kLKnXHVU7tbtobu2aZwXi5mJJjUxJTmsWwPPFAwOUUouUUqOt\nHrTC3Ats9HneG5OsAbiBnkAjIAM4Syk1RSk1BVBKqWlKKbdSqkJWl6x0iVlCfGwjoPPlF597odNZ\n6DpGQohSlpWde3jC1BWjJ0xZMTQ9I3N+Sc+XkpzmGDbkqzciwquMcTpLpZDPwJTktOtL4bxCVEgx\nXRPDQyOjbmx3+Q3XOENCzmQOZ7BpG/voqHOB43rIps9cu2rL1r9+sSkmUU4t+/mPMZ99s+iW9IzM\nPN/tlyTeHd1e9ZxXq0aDTnbF5qc68FlKclqg/l5eDFykte6CWdh6sVJqts/Xu1rrPK31n37HVQUK\nFtDbAzTQWm/UWg/H9MJdafWYaau3LElr/XaAYi5TlSoxsdYsu+L8cxuf3UQKfghhi7/2H9k26ov5\nr85fvMGVnpG5/tRHFC0lOS36aNahmVGR0Q+VcuGBNyrQZGghSts1Ha65/cqI6OqB7J2u0BwhockN\nLhu8Hv8hjROWTM3Ozj1iU1iiHPF6vSxdufnzz79dfJt/UnZRz1trnNO6+/yaNRqUt4qICcBjATrX\nSq31VuvxEuBLn2GNvbXW95/kuIOYoiQA1QCnUirEGvZYaLEMpZTTer1CqVSJGRAHNLykb9vKPuxC\nCFv8/sfeNa9/MPuJ9Zt2v5SekbmvpOd75pFJLbNzjq6KjKjaOwDhncpZSJVGIYjpmnhBo/O7XVKn\nResudsdSzoTWjOv3tDOyyq++G7ftOHDwp4Xr/8+uoET54PV68az845Mvxi+503/oflLCHbXOa9tn\nfs3q9dvbFd8pPJ+SnNYhAOf5Qil1npUwXQmsKOZxHszwRYDzMMMc7wWmAkeA//kMZSwY1jgVuDsA\nMZepSlOVMSE+NgR4pHf32E5XXHLuTXbHI0Rl4vV6vUtX/jHrywlLXgRmBWJ9sieHftM/NCTs25CQ\n0Cqn3jtgvECP4SMGLijDawpRbsR0TawbFlXlwR4PPPFAeJWqteyOpzzKz815cd1LNx8CjhtW/fiQ\nvjc1bFCjlU1hCRt5vV7vkhWbP/pqoucf/knZJYl31Wmnev1UI7pueR/J9TNwwfARA7PO9ARKqfbA\nV5i5mN9prZ8sYt/ZWuve1uPqwE/Aj8ClQLzW+oSbu0qphVrrrmcaX3lQmXrMejkdjhq9e7S6yO5A\nhKhMcnLzsqZ8v3rMlxOWDE3PyJwZmEWjv3o6PCwyrYyTMjCNyaiU5LSwMr6uELaL6ZroBK4/96pb\nkiQpOzlnaNjj9ZJuW4ffkMYxEzxpOTl5Z/xHraiYvF6vd/Hy30cVlpRd2vueeu1Vr3kVICkDOBd4\npiQn0Fqv0lp30FqfW1RSZu3b2+fxfkwBkAygT2FJmaVaSeIrDypFYpYQHxsOdB/Qr925NaIjZTy8\nEGXk4KGsPZ+MXThy5tx1yekZmWtKer6U5LTIYUPGTo6KjE5xOGwr3tOewI23F6IiufCs9ufH1WnZ\nRoYwFi2sdvyAJxxhEccNadyybd+BeYvWy5qIlUh+vte7cOmmd8dOWvpP/6Ssf5/BDdqpnnOrR9et\nSEtNPJaSnGbLcEut9V6t9Tda621F7FPh1w2sFIkZ0C8yIrRKfFxMhVzTQIiKaOv2/b+9+VH68LXr\ntj+dnpG5o6TnG/7wxLOzso8si4qsdnkg4iuhp1OS01rYHYQQZSWma2IDZ2hYL5V0+WWlXGQnWHSK\nfeyjlkC278bJM1Yt27Zj/282xSTKUH6+17to2aa3xk1eNtR/pEj/PoPPbte659zq1eq0tiu+MxSG\nGTUinwGlJOgTs4T42GpA50H9O3SJigqvbnc8QlQGq37ZOn/E+7Me3rn74LvpGZnZpz6iaE8/OL4H\nXlZHhEe1CUR8ARAFvGN3EEKUhZiuiQ7g6nMGXtc9IrqGjDopJmdYxLC6fW74Fb8hjV9N9HyXk5tX\n4s9FUX7l53vzM5ZuHDlu8rKH/ZOyy/re27i96vVTdLXasXbFV0LdgPvsDiJYBX1iBvSPigwLO69d\nox52ByJEsMvLy8/9IV1PGP1VxtBZ836dEqD5ZENCQsJmh4aGlbdS9ZekJKdJhVdRGSTUaBTT5qx2\nnRLtDqSCCa/T66p/OULCjush2/znX/szlmx02xWUKF35+d78BZ4NI779bvmjJyZl9zVt17rXT9Wq\n1qroIy5eTklOq2d3EMEoqBOzhPjYekC7Sy9s2zEivMyLBAhRqRw5kr1/zETPe1N/WPNIekbm0pKe\nLyU5LXTYkLGfRUVGv+10OsvrAravBnpIh1LKoZQ66fu11mYJ6s9uUX7EdE2sASS2vezqi2Qh6TPS\nOdb1UWMg13fjpOkrPTt2HdhgU0yilOTl5+fNX7LhP+PTVvzLPym7vN+QZu1Vz/RqVWs2sym8QKoJ\nvGp3EMEo2D9kL3U6HXRq3zje7kCECGa79hza/Om4hW9t2brvnfSMzMMlPV9KclqdrKzDM6Iiq8UF\nIr5S1Am4CRgTwHM2Ar5VShVUbwsFOgAFyW4I8IpS6mNgPbATU6nqamAvZg7AFq21LAsiAuGqRufH\nN6/esElFqBpXLjnDo56q3XPQzXvmTuoI5AF4vTB20tLvhtzZ6/7QUKdUeQ0CeXn5efMXb3hl4rSV\nT/snZQMvur/lOa26z6xapUZTu+IrBXekJKd9KMvHBFbQrmOWEB/bELj/ol6tW13Wr931dscjRLBa\nt2Hnsk++XvjKkSM54/2rTp2J4Q9P7OD15n8fFhpRUeaybATalGRtl6IopR4DwrTWL/ttnwJ8BtTF\nlAiuAqwGooHeWuvbSyMeUXnEdE3s4HA4r+318NP3RFaveZbd8VRwC/QLN35Ifl6M78ZrBnbs0uOC\n5pfaFZQIjLy8/Lx5ize8MGnayucK6Slr1bZV95lVo6o3tiu+UrQciBs+YmCJ235hBPNwmEQgLz6u\nWXe7AxEiGOXne/PnLlo/7d1P5j4wY9babwKRlD3xwNc3Oh3ORRUoKQNoBgwpjRMrpWIw68Z8bz32\nNwiYjln4eh+wC9hjPRfijMV0TQwB+rVOuvw8ScoColusa3QDrB6zAhOmLF+0c/fBTTbFJAIgLy8/\n96eF658rLCm7Mmlom3NadZ8dpEkZQEfgFruDCCZBmZhZlRjP6Xxek8Z1aldtYnc8QgSbrOzcwxOm\nrhg9YcqKoekZmfNLer6U5DTHsCFfvRERXmWM0xkSEYgYy9iTKclpAS1OopSqjhkiuRjzWf2FUuoK\nv92ygYKho7cCTwGPAuGBjEVUSn0jqlWv1+j8+L52BxIsQiKqDK8Vf9kafKo0er0wbvLS7/Ly8nOL\nOFSUU1ZS9kzys5Oe9zlq6HsAACAASURBVE/Krkga2q5NbLeZVaKqn21XfGUkJSU5rSK22+VSUCZm\nQF8gP7FbrPSWCRFgf+0/sm3UF/P/M3/xBld6Rub6kp4vJTkt+mjWoVlRkdEPVeD1kWoD/w7UyZRS\n9YApwIvAGiAfuAp4XinV32fXFOAJ63Ey8LvWOhH4MlCxiMonpmtiNaDbOQOu6xUaHlHV7niCSFS9\nfrc9hMOx0Xfjbxt371m8/PcfbYpJnKHcvPyc9Izfnkx+dtJL/q9dmTS0/Tmtuv1QJSq6oR2xlbEY\n4H67gwgWQZeYJcTHhgEdWjarU7tRwxrlZc0jIYLC73/sXfP6B7OfWL9p94vpGZn7Snq+Zx6Z1DI7\n5+iqyIiqwVCG+6GU5LQSD1dRSrUBvgee1VpPL9iutd4FXAm8rZSqbW3+E1MYpMBBpdQooHtRlR2F\nOIUBNRo1rVW3VduudgcSbBwOR6/Yx0bXxq9K47dpyxfu3ntos01hidOUm5uXnb4gc9hjz/3vP/6v\nXXnxgx3btur+Q1RkdGUaAvxkSnKarBUcAEGXmAEJQHhS7zbdKvDddyHKFa/X6/Ws2Dzz9VGzh+4/\ncPTT9IzMEg+7eXLoN/3xsjI8LDJYqlRFAo8H4DzrgCu01jP9X9Barwc6aq33WJsmAh/67DIaqKG1\nfkprLUOjxGmL6ZrYBDin1UUDExxOZ8gpDxCnLSSq2jM14vqtxWdIY36+1ztu8rLJMqSx/MvJzcue\ns+C3f7lSJo/wf23QxQ91PqdVd3dUZLUGdsRmozrAv+wOIhgEVWKWEB/rBDrVrlUlomVM3Y52xyNE\nMMjJzcua8v3qL7+csGRoekbmzAAtGj08PCwyLSQk6NYXvCclOa1EhUu01nlaa99iAE7A4fP6futh\nCHCd1nosJim8GugKbFdKpSqlokoSh6h8YromOoDLajRpVr1W0xbShpaeqg3633M/DsdxRT/Wrd+5\ne+nPf8y2KSZRDDk5eVmz52U+9vjzk9/wf+2qSx7p0rZVt+mREVUr68LLD6ckp1WGoZulKqgSM+B8\noEbfnq3PDQkptwvSClFhHDyUtfuTsQtHzpy77rH0jMw1JT1fSnJa5LAhYydHRUY/53A4gu3zByAK\neCTA54yg8DUnQ7TWB63HzYEsTLGQRzBrmfUJcBwi+J0LNGp94cBEh9MZjP8/yw2Hw9G35aOjquFX\npXHc5KXz9/x1eItNYYki5OTkZc2en/nov1/87i3/16669JH4NrHx0yIjqta1I7ZyogrwrN1BVHRB\ntY5ZQnzsEKDe8EcvHlyrZpVgr4IjRKnaun3/b598vfD1nbsPfpiekZld0vMNf3ji2Xl5uT9GhEcF\n+9zP/UDM8BED/yqrCyqlQmXooigJq7dsaK2YlrGdb7t/iCRmZeLA1klv3bH/55864ZOgtW3VoN49\nN8ff55ShpOVGdk7e0Vnz1j30xEtpo/xfu6Z/cg/Vsst3EeFVahd2bCWTC7QePmLgBrsDqaiC5oM3\nIT42FmjYJrZ+PUnKhCiZVb9sXTDi/VkP79x98N1AJGVPPzi+B15WV4KkDKA68M+yvKAkZSIAOgL1\nWl14WYIkZWUm+qwrH7gPOK7ox9p123cuW7Vljk0xCT/Z2blHZs399YGTJGUJqmXXNEnK/hYKPGZ3\nEBVZMH34dgFye3aVcfFCnKm8vPzc7+foCaO/ynhg1rxfpwRoPtmQkJCw2aGhYQFd56ucG5qSnCZr\niYkKweotS6jdLLZmjcYxHU55gAgYh+P/2Tvv+Cjq9I9/Zne21/RsdlNIYRJCE5EgCAh2LKjY6+lP\n9BT11Jx3p2e5i+X0Ts9yng09OyhNMBBEBDS00EJNwpANgbRNz/a+O78/ZhOSkARMNtlsMu/Xa16v\nZMp3n5Tdmc/3+zyfh7g87ckPRWBbYnTw7ZriHUaTwxCisDgCuNxe++Ztxx9+9h/rPu1+7Kb5f5yX\nmZazViSURIQitmHMfXm5+aO1zm7AjAhhFrDIT+fzCSItJZq7qXBw9AOHw21eunr/+wWbS58sLNIX\nD3S8vNx88pnFy76QiBXv8XijruZTA+DOUAfBwXGOTAEQnTZ3/iyC4HFuxkMMqYh8SZ6VcxSdXBq9\nXr9/1fpDa/1+xt/HpRyDSECUPfTc6+u/6H7s5qv/eFlmWs5qoVAymiYczxUJgD+EOohwZUQIMwAX\nACBnTktNE4sE8lAHw8ERbjS32qr/+/n2l4uP1DxTWKQfcC+dvNz8KJfLvlsilt8TjPjClD/m5eZz\nD7kcw5rAatkseUy8RK1LHh/qeEYpqoSbnrofbF/CDo4eMzQcLqvbFqKYRjUul9f2cyH9wPOvr/+6\n+7FbrvnTlVRazkqhUKwKRWxhwiN5ufnc83g/GCnCLBuAf8oE3aRQB8LBEW6UVzYd+PeHW5+uNZje\nLCzS2wc63vOPr5zs8bpKRSLplGDEF8aMA3BJqIPg4DgLUwFEpc29ahrXtyx0EARxderj/wWALunj\nS1ftLzRZnI2hiWp04nR5rJsK6ftf+GfBsu7HbrnmT1dTqdOWCwVirply30QAeCjUQYQjYS/MZk9P\nVwNIVinFIp1GPRqMBTg4goLfz/i37zlR8P5n2x/d+EvZd4VF+gGnzDz76Ld38PlkkYAUDaiX1whi\nUagD4ODojcBq2UxSLCGi0zKnhjqe0Y5AHfOKLH1yl5RGj9fn/77g0BoupXFocDg9lk2/0r978V8F\ny7sfu/XaP19LpU77ViAQKUIRWxjyJFdr/dsJe2EG4EIA3rkzM7K53mUcHOeGy+21r1p/6NNV6w49\nVlik3znQ8fJy84lnFi99RySUfs3j8UXBiHGEcH1ebv5o7mvDMbwZByA6/eKrJvGFQq4heeiJ0N7+\nzF0Auph+HCqpM5TQhgF/TnP0jcPpMf/0y7G7//bGhlXdj9127V+uH5t6wTKBQMSl5507WgB3hTqI\ncCOshdns6ekEgCwAyKY0XBojB8c5YDQ76j/+aufrO/dWPl1YpD8x0PHycvMVTpdtq0SseJwgCK6m\nqitCAPeGOggOjl6YDhDeuOzJ00MdCAcLQRDXj1n8jq/7/m9W7f/FbHU2hSKm0YDD4Tb/9Muxu/L+\n/ePa7sduu/aZhRmpF3wjIEWyUMQW5jwR6gDCjbAWZgBSAUTGRMmlURHSxFAHw8Ex3KmqaSt966Nf\nnj1xquXVwiK9aaDjvfjk92luj/OoWCSbE4z4RigPhDoADo7uJOfM0QAYkzx9ToZIruBWdYcRwijN\ny9KU7BJ0Sml0ub2+tRuOrPX7mQG3MOHoit3hNm385djtef/+Mb/7sduve/bWsalTvxKQQmkoYhsB\nTMjLzecmfn4D4S7MzgfgzZmSnMHN1HNw9A7DMMy+Q1Vb3vr4l8fMFufnhUX6ATck/utjy+eDwWGh\nQJwUjBhHMJl5ufmzQh0EB0c3ZgPwaqfk5IQ6EI4ziNbd/cLNALqYfhQfqaktK2/YFaKYRiQ2u9u4\n8Zdjt7z01saC7sduv+7ZOzPGTP2MJLk03wHCmYD8BsJWmM2ens4HMBYAMlJjMkIcDgfHsMXj9bny\nfyr5+ptV+x8rLNJvCUbT6L88svQFoUCcz+eT3CziucGZgHAMG5Jz5kgBZKm0SSpZdFxqqOPhOBOC\nIG5O+f2bZ7jkfr1y71arzdUSiphGGja7q+3HrWU3v/zWxp+6H7tjwV/vzUid+glJCjhRNnBuycvN\n51oLnCNhK8zA1paJSZLH08Qq00MdDAfHcMRqc7V8/u3ut7fuKP9jYZG+dKDj5eXmi59ZvOwHqUTx\nd4IgwvnzY6i5KS83n2tEyjFcuBgAki+8eDKXbTJ8EcUmvirWZnRJaXS6vN4fNh5dyzBcSuNAsNpc\nLRu2lN346js//dz92B3XP3dfxpjzPyL5AnEoYhuBSMGZgJwz4fxgRQHwXjA5KUkg4FzgODi6Y2gw\nV7z7SeGLpccbXigs0g+4D86LT6zWut2OgxKx/NpgxDfKkIC7MXEMA5Jz5vAATAIIRKVSk0MdD0ef\nxCbd//L1ALqYfuw9WFV9TN+4J0QxhT1Wm6u5YHPpDf94d9Mv3Y/def1zD2SknP8Bny/gniuDy4Oh\nDiBcCGdhlgIA2ZSGS2Pk4OjG0WOGXW9+uPWJphbr+4VFevdAx3v+8ZUXMQxKhEIJFYz4Ril3hDoA\nDg4AkwDIEqfOGCOQSLlV3GEOQRB3JD/wmgVAl5XNr1fu22yzu9pCFFbYYrE6mwo2l17/+ns/b+t+\n7K4bXngoPeX8//L5JCfKgs/EvNx8rp71HAhLYTZ7enosgEgASNKqx4Y4HA6OYYPP5/duKqRXfrq0\n6NGtO46vC0Y92TOLlz7KJwW/kKSAyxEfGNPzcvO1oQ6CY9RzHgCvZtIF54U6EI5zQ5yQ+ooofkwJ\nOj2z2R1uz7pNJWu5jMZzx2xxNq7/ufS619/7eUf3Y3fd8MKjaSnn/YfPJ7mGyIMHZwJyDoSlMAMw\nGYAnJTFSrZCLOZtfDg6wfViWrt7/fsHPpU8WFumLBzpeXm4++cziZV9KxIr/8Age/+xXcJwFAsAN\noQ6CY/SSnDNHAWCMWKkWKzW6rFDHw3HOaJIX/eNqAK2ddxbtP3Wq/ETT3hDFFFaYLI76gs2l1/7r\n/c1F3Y/dfePf/pCWMuXffB4pCEVs3XG4LPD7z2hlNxK4JS83nzMMOwvhKsxSAOCCyUncahkHB4Dm\nVlv1fz/f/nLxkZpnCov0NQMdLy83P8rlsu+WiOV3ByM+jg4WhjoAjlHNTAC+lJnzxvP4fDLUwXCc\nOwTBuyfpvpfa0C2l8auV+362O9zGEIUVFpjMDsP6TaVX/+v9zWfU5d1949+eSkue/Aafx//Nouz4\nyZ3YtPN9bNr5PgoK/43dh1eecY7b48CW3Uuwuehj/Lr3c/j8pzvVOFwWFBT+GwBAV27Hhm1vw+t1\nwdBEgzcy50JlALga9bMQdsJs9vR0EQAdAKQmR3HCjGPUU36iqfjfH239Y63B9GZhkf4Me+XfyvOP\nr5zs8bpKRSLplGDEx9GFWXm5+bGhDoJj9JGcM4cA62aM6LTM8SEOh6MfSBKpl4XR2i4pjVaby71h\nc9kZjZE5WIwmR90PPx296s0Pt5yRRXLPwr8/nZY8+XUer3+TFGNTZuCyGY/gshmPICZyDNKTziyh\nOllbjKzUObhk+oOQiBUwNNIdx4pL8+HzeQAAbeY6pCfloMVYDZI/orMpb+vtwI4FC6N3LFh4xVAG\nMxwJO2EGtnAZJMnjRUfJuca2HKMWv5/xb999Yv37n29/bOPWsuWFRXr/QMd89tFv7+DzySIBKeLE\nw+DAB3B9qIPgGJWkAoiWRcfKJJHR3L0zPNGlPPzm5QC6mH5s33PihL6yacDp6yONNpO9Nn/T0Svf\n/viXQ92P3bPw739JTZr0j/6Kss7YHSY4XRZEqRPPODY2ZSY0MewagtNlhVgkBwDUN5eD5AshFik6\nzvX7fTA0H0dCbOZAQxrOXNW5p9mOBQujdixYuGjHgoWbABgArNmxYKE8dOGFnnAUZmkA/BMyNfEk\nnzcs8oE5OIYal9trX7nu4Ker1h96vLBIv3Og4+Xl5hPPLF76jkgo/ZrH49pPDDJcOiNHKLgAgEc3\ndWYm17ssfCEI3v8l3vNCE7o9v321ct9PDofbHKKwhh2tRnvNDxuPXvn2x78c6X7s3pvy/pqaNPll\nHo8flHzB46d2ICN5Rp/nNLWdhNvjQHREMnx+L46W/4zzsq7uOB4fMxa1jWWQilX4de9nqG/WByO0\n4cZ+AC+mNe9X71iw8IEdCxZuBFAP4GMAlwIgAYgBzA9hjCEnrITZ7OnpBAL1ZWPTYrkZP45RidHs\nqP/oy53/3LXv5NOFRfoTAx0vLzdf4XTZtkrEise5B7YhYW5ebn5EqIPgGD0k58zhg53URFTqWM70\nI8yRpox/WRARV4JO9WZmi9P14y/HuJRGAK1ttqr8jUcvf/eTX492P3bvTS/9bUzipL/zglTExTB+\nNDRXIC4qrddzXG479h1dg+mTbgEAlOq3ICN5BoQCScc5KQmTMXHs5RAIJEiIzUK14XAwwgs5doe5\nvqqu7IcY66kpl+g//+AS/edzU4xH9ACWALgcrBjrzqievAwrYQYgHoACALQa1ZlrxhwcI5xTNa2l\nb330y7OVVS2vFBbpTQMd78Un16S7Pc6jYpFsTjDiGwxsjhFX1y4AcF2og+AYVWQBkIhVEWJZVOyY\nUAfDMWCSxyx+Zw6ALitkhbsq9CdOtRwMUUzDgpZW28k1Px659N1Pfy3rfux3N7/80pikic8HS5QB\nQGNrJaIiktDbnKbP78W2/V9icuZ8yKWRAABDczmOn9yBTTvfR5u5DkWHlgMAzLZmKKRR4PP4YBC+\nbRDsDnN9ZfWRzUU7v/xIeOjz3Ze3bs+eYNiyG8AnAK5Az2KsM/N3LFg4ogvt+iLcXJmyALgBIIar\nL+MYRTAMw+w/XL31m1X7XwGwNRj9yf762PKrSb5guVAgDop97fGTO3Gqjn0m8HidiFInIWfiTV3O\ncbnt2HlgKZxuKyJVuo7jDpcF2/Z/ictnLAYAHCgrQJu5BnOnLUJDix6puqnBCHE4cQWAL0IdBMeo\nIRuAN2narPEEjxduE7IcPUDweL/X3v6Xu2qXvaYETj/Ff7Vy78Y/L74kTSwWKPq4fETS3GqtXLPh\nyGUffLG9ovux+25+5R9jEif8iSCC+/9vaKIRG5kKADBZ6lFZewCTM6/qOF5RtQdt5locLf8ZR8t/\nRkbKjI77HABs2vk+pk+6BR6PExKRAipFHPYcWYXxGZcFM8xBx+6wNDQ2nyxpqDmon0K0xV0ll2Rr\nYsi5PELZn9+3HKyD7NYghxkWhJsw0wAAQQAFP5euGZMUpdPEKXWRaqlWKCQlZ7uYgyMc8Xh9rg2b\ny5Zv3VH+WmGRvjQYYz6zeOmLYpH8BYIggnaTGpsyA2NT2Dz7vUe/71FMVdbuR4p2CsbopmB78Tdo\nMVZDLo3CroPfwut1d5znclsRodShzVwLmVgdrBCHE3NDHQDH6CA5Zw4PrPEHotIoLo1x5EDIM6bk\nkcqo57zmliwExJnR5HBuKqTXXXv5+NtDHN+Q0tRirVj745HLPvhie2Xn/Zlp04gLz1/wz5TE8bkE\nwQt6qv7kzNPlUCpFfBdRBnS9L/bEZTMeAQAIBOIOk5D5s58KdpiDgt1haWhsOVXaUHXw+HlEa9yV\nCkl2fDQ5h08og7EieQU4YRYWxAMAwwDbdp+o2Lb7RAXACrX0MTFRmemxusSECF1MtFynlIvjeDyu\nXoYjvLHaXC3Lvt//SenxhjcLi/RNAx0vLzdf7HBal0vEikHrJdKXQ5VIIIPRUg+3xwG70wipRA0e\nwcNFU+7Cr3s/63Iuw/jQ2HIC1JhZgxVqKInPy80f98Kb1wZFaHNw9EEGADkpljCy6LjeC2E4wpG0\n1Mffm3H85durwK4yAAC2bC8/PiEr4UhKYuSEEMY2ZDQ2W8rX/nj00g+/3F7VeX9m2jRixtQb3kjW\nZj/J1U8HB4fT0tjYXFViqD5YPgUtsVcoxOM0MYLZQRJjnbkSwF+CPGZYEDbCbPb0dDmAKARSGTvD\nMED5iaaW8hNNLQAOAYBMKhRMyNIkpCZH6xLilLqoSJlOLBKMagtOjvDC0GCu+OzborebWmwfFxbp\nz/i//628+MRqrdfn3SwRy6lgxNcbfTlUxUSmoLaxDHTlNqjksRAJpD020lQp4tHcdhJSiRqbdr2P\nnAk3QaWIG8ywQ8E8AJww4xhsJgDwJEy6II3HD44LHcfwgeDxFyfc9NQddSv/PR6Ar33/Vyv3bnj6\nkUtSxSJSFsLwBp2GJsvx7wsOX7rkm53VnfcHRNnbydrsxzhRNjAcTmtTY/Opkvrqg8cnoyXmMoU4\nOyF6UMRYZybuWLAwfubaVfWD+BoDhqIoFYCbaZr+JFhjho0wA7tMvwtALNiVMzkAV28n2+xuT9H+\nU6eK9p861b4vSRehGpcRr0vSRejiouU6lVKi4fNHZnt1jvDm6DHDrs+/2/Oqz+dfH4x6suceW3ER\nj8dfJxJKVGc/u/+0O1RNoq7q8fiR8k3ImbAQAoEYZSd+RUX1XmQkTz/jvKzU2ahpiILTZUVi/ATU\nNpaNVGH2XqiD4Bi5BJpKB9wYKW61bGTCU4ybnseXq/N8VuNYBFIaW9vsji3bj6+ff8m4W0Ic36BR\n32imVxccnvfp0l11nfdnpk0jZl6w8D9JCVmPcKKsfzic1qbGllMl9dWHyicxzVGXycXZCdGCWYMs\nxjpDIEi12BRFzQPwd7CaQYjTCzxCAI/RNH0ocN5tAFaDfQ/5aJr2dxvnRgAPAfAC+Imm6XfAOkg+\nSVHUBpqmawcaKxBGwqywSG8DkA902OZHgTUD0YAVatFgm7d6ehujqqbNVFXTZgJQAgBCAZ8/PlMT\nnz4mWpcQr9LFRMl1UolwRBa0cIQHPp/fu2VH+ZqCn0v/UVikD0rD0GcWL31UJJK9zSMGfxLibA5V\nbrcDbRYDoiOS0dxWBU10Rq9juT1OkKQIfr8XHq+v1/PCmDl5ufm8F968dsCNwTk4eiEJgAqAW6HR\npoY6GI5BY2zaHz6YcvyV2xsAdJg5bfqVLpuQqSlN1EaMC2Fsg4Kh0Vy6Mv/gJZ9/t7vLikpm2jTi\nogsWvp+YkPV7TpP9NhxOa3NTS1WJofrQ8Yn+pqhLFeJsbZTgIj6hDJVWCIowo2l6C4AtAEBR1E6a\npmd3P4eiKArAjTRNf0tR1OMArqYoigEwCcA9NE1voml6NYDVFEVNAbCAoig+gDsA3ATgLYqibqVp\nesAT6WEjzDoTWEFoBrCtfd/s6ekCsAXOY8AKtXgASrBCrcdflNvj8xUfqaktPlJTC2A3AMTFKGTj\nMzW6ZF2ELj5WqYtQSbUkyTWy5hh8HA63eUX+wc8OHK39V2GRfsAzL3m5+aTDaf2fRKy4OxjxnQtn\nc6jKTp+HokPfweZoQ3REMpK15/U4jtnahAilBgJShK17PsWFk24dkviHmEgAkwEERYBzcPTAOABu\nWXSsTCRXjrglZ47TEHz+E/HXP3p7/Zr3JqBLSuO+9bkPz00RCcmguO8OB+oaTCUrfjg498sVe7rU\nXWemTSNmTbvpI50mcxEnys4Np8vW3NhcVWqoPkhP9DdGXqKQZGujBDNDKMY6c9mOBQuJmWtXBbN3\ngLeX/YsBPERR1GsAltI0/S5FUdcDmEHT9CYAoChKAOBhsCUILQD+BGAVTdNlFEX9DFa0PU7TdHUv\nr3FOEAwTvr0Szsbs6elKsDbBCQDiApsAPdSp9QafTxBZGfGxY1NjdFqNWhcTJdPJZaJo7k3PEUya\nW61Vn3275726etN7hUV6x0DHy8vNj3a57BtFIumUYMTHMWg8/cKb174R6iA4RibJOXMeBJCQPm/+\nhNRZl90Y6ng4Bp2y8n/d/4rfYe1IaQSAq+Zljb/84swR0bS3tt50ZGX+wUt6FmU3f5qYkHlfqGIL\nF5wuW0tjS1VJXfUheqKvIXKiQjJOKxZkkAQxHMRYdybMXLvqjEbh50qgBmwNTpc+TQNwEKcXbeQA\nPgLwYuCcvQD+AOAJAJVgF3sA4B8ARAD+C2AdAC3YcgQv2P7K/MDr1NE0vaK/8QJhumJ2rhQW6c1g\n69IAALOnp/PBpnakg11RiwObEukB0GM6kc/HMEePGRqOHjM0ANgPAGqVRDwxK0GbkhSp08QqEyMj\nZFqhgC8e5B+HY4RSfqKp+H/Lil5zuryrCov0A05re/7xlZNBEBtFImlsMOLjGFTmAeCEGUfQSc6Z\nIwD78MBEJKdxaYyjg6z0pz6ecPyVO9oAdLQQ2rCl7Gg2FZ+t1agzQxjbgKkxGA+t+OHgvK9X7W3t\nvD8zbRoxO+eWz3Ua6p5QxTbccbpsrU0t1SW1NYfp8V6Dep5Ckq2NFMwgCdVw1wEXAei3MKNp2oRA\nexqKohIAvAWgCcAbNE2fbD+Poqh8AEvArpz9G8B7NE0fCRy7B8AUAOUAnAAiAJTQNP1WYBWNChxL\nomm6vL+xtjPc/yBBpbBI7wOrgDv6XMyeni4DW6umxWmxJkYfq2pGk8NZWFRRUVhU0WHXn5EaE52Z\nFqfTJah1sdFynUIujuXs+jn6wu9n/Dv3Vm5Ytf7Qq4VF+p3BGPPZR7+9UygQf8rj8UXBGI9j0MkJ\ndQAcI5YssLO4XnmshhNmowSCT+bGXb3ojob1SyaiU0rj16v2rX/ywYuTw7Xna3Wd8cCy7/fP+25t\nsbHz/sy0abzZObd+pdOMvSNUsQ1XnC57a1NLVWldzWE622NQXqyUZOsiBPeShCqcynMuAvBhkMa6\nAcBmABM776QoKgKs6cehwGv9CuDdQN3ZCQAGmqZvpigqCsDYwEZRFPUEWKF2H4A3AVwH4OmBBjmq\nhFlPBExF9gU2zJ6ezgNrKEKBFWntxiJ+dPqQ6wzDAMcrmpqPVzQ1g10ihUwqFEwcl6BNTYrSaeJU\nAbv+kW1by3HuuNxe+9ofj3y9a9/J1wuL9CcGOl5ebj5hd1jelojlnDVweBGZl5uf9sKb11aEOhCO\nEUcaAK9Kl6wWiCXKUAfDMWSQ6vMve75p8zf/8jvtHU6c9Y0W67bdJ368ZNbYG0IZXH+oqm3bvyL/\n4Lzv1habO+/PTJvGu/jC25cmxKWPyCLk/uBy2duaWqtLaqsPHxvnqVNdrJRk69SCe0heWImxzswM\nxiCB1bIHAMxBJ2FGUZQOgANsemIxgCM0TTcD+ISiqM8B/K3TyloE2NU0AYAHAfwMIA+APTDut8GI\nddQLs+4EUslqAxsAYPb0dDFYoZaI02JNhj5W1Wx2t2fXvpMnd+07ebJ9X7IuUj1ubJwuURuhi4tR\n6NRKcTyvpyZOHCMao9lR/+XyvR9WVrW8XVikNw10vLzcfIXTZVsnlSjOcBriCAumAuCEGUewSQSA\n6LRMbagD4RhyHbhxCgAAIABJREFUJqQ99TFV/updNrB1MQCAdZtKDo8bGzdeE6fq3Q53mHGqpnXv\n0tX7561cd9DaeX9AlC1PiEsfEbVzA8Hltrc1tVSX1lYfPpblqVPMVoizE9XCe8NYjHUmZceChbEz\n165q7O8AFEVpwAqvZ2iaNlMU5QcQA+AkWBv9XwCYAFwL4E8URT3cOc2xExqwumkPgHsBGAF8D9bx\n8VsAr/Y3xs6MaPOPwSJg1x8NIBO/wa6/OyIhyR+fqdG02/VHR8p0UolwUPtMcYSWUzWtpf9btvsN\ns8X5VWGRvjd3oHPmxSfXpPt8ns1CgTgpGPFxhIQ3X3jz2j+GOgiOkUNyzhwZgGcBeM67Y9HlMRnj\nLgx1TBxDjqe1aN0dTT99OQmdsn208SrFHxbNWSwQDP9095PVrbs/+WbXJRu2lNo6789Mm8abO+OO\nlZrYtLBb/QsWLrfDyNaMHaEz3dWyyQpJdqJYOFbAI4Shjm0QWDBz7aof+nMhRVFJYNMX/0LT9KrA\nvnlgzT74AFoBPAPgRrACrRbAJ2BXwTLBijcfgCU0Ta+kKCoTwFcAisAaf0zo9HI8AHfQND2gpthh\nv2K2qKD4FgB/A/tLat+OLpk/ZdB6AwXs+psCG4AOu/40ACk4bdevAruq1qP6dbm9vv2Hq2v2H66u\nad8XH6uQj6c0uuTESF1cjEIXoZImcHb94Q/DMMz+Q9Vbv1m9/xUAW4PRNPqvjy2/muQLlgsF4hFj\ngzxaYBjGSRDEIbCpE1tCHQ/HiCMbgYdxWXScLsSxcIQGQeT0a55t3vrdW4zH1ZHSWFtvsuzYc2Lj\nxTMzrgtlcGejsqpl12fLdl+6YUupvfP+zLRp/Lkz7lytiU0d1vEPBi63w9jcWl1aU3OkjHJWy2cp\nJdmJKuFdAp56JIqxzuQA6Jcwo2m6iqKo82maNnfa19HXrBMlnb6e18eQxwEsoGm6ro9zBkTYr5gt\nKih+E8BT3XZbwNaMtQu1XUvmT2nqfu1gElhVU4EtwG63648Fm5t6zqtqfD5BjBsbH5eRGqPTadS6\n6Ei5Ti4TRnFlROGDx+tzbdhctnzrjvLXCov0pcEY85nFS18Ui+QvEATBC8Z4HIOHz+dx2R2Weout\n1dBmajA0tpwyNDZX5Zcc3/FjqGPjCD0URY2jaToonwvtJOfMuR7AZB6f5M175rVneHx+2E/CcvQP\nv8f19/J/3O0G0OXh/c+PXnJXfKwyrZfLQsqJU83bv1yx77L8n444O+/PTJvGnzfzrh/iY8bMD1Vs\nQ43b7TA1tdaU1tYcKRvrrJKep5RkJ4qF1AhdGeuNn2auXXVFqIMYKsJSmCXnzCEB+E7t/pVZVFC8\nDaxry9moRNdVtQNL5k85Z4EUDAJ2/clgV9baHSAjwS6HnvMKX2SEVDIhU6NNSYrSxccqdFFqmVbA\n2fUPS6w2V8vS1fs/LStveKOwSD/gyYG83Hyxw2ldLhHLrw1GfBzBxeN12+x2U73Z2mJoMzUYGppP\nGppaqtp6OFV/rGLP10MeIEfQoSgqEsD5AA4EisZ/y7Vzwdo359A07Trb+edKe/+y2MwJ8ZNvvf+h\nYI3LEZa4W7atvrN567ddUhoTE9TKxx6YvVhA8ofVA76+sunX/362/crCIn13UUZeMvPudXExKSP+\nAb1DjNUeLctwnJKep5RkJ7FpisM+/XSQMMxcuyoh1EEMFeEqzG4EMI7HJxsuefb1/xA8Xn/+WZ0A\nDqCTWFsyf0pVMOM8F/pj198dggDGpsZGU+mxrF1/FGfXPxwwNJj1ny4rerul1baksEh/zn/P3njx\nidVan8+7RSiUjA1GfBwDw+1xmm12o8FsbTG0thkM9U0nDG2mBkvnc/gEiGyZOEYrFkRsaLZUgv3c\naQFQcaxiD7diFuYEbJbXB7bbAMyjabqp2zkkWMvldvfVx2iaPkJRlBhsb0wLgGawGRXNYFPfJehn\nrUJyzhwegL8C4GdedePUpGmzru7XD8cxkth3/JU7/8v4PCmdd944f+L5s6anXROimM6g/ETT1vc/\n335VYZG+yyRFZto08tKL7imIjU6+LFSxDTZuj9Pc3FpTWlNzpCzNcUo8hRVjlHD0irHuRM1cu6r1\n7KeFP+Ga3hANgFQnp07qpygDWPFzYWADACwqKK4DsBunxdq+JfOn2Hu+PDj0YdefidMOkFE4i10/\nXdHYTFc0dtj1y2Ui4YQsTUJqcsCuP4Kz6x9KjpQZdn6xfM+rPp+/IBj1ZM89tmIWj8fPFwolnDnM\nEMMwDFxue6vNbjKYLc2GlrY6Q12j3mC1tTk6nyfmEfwLlJKEdKlIkyAWaOOEZIxawI/jE4SAYRhv\nmdWZetLpqT1Wsaff9a8URfFpmvZRFEWALVz20zTtDxwjABDt33MMCRMBPEXTdFFApE0BsLGHc5bR\nNP3nbvs/ALCNpunfAwBFUesA/O63rrr1QBxYYedWxCWMmllmjj6Zmv70J7ry1+71otNz3/cbDu+n\n0mOzY6MVY0IYGwDgeEXjzx98sePq7pOYmWnTyEtn3bsxNiqpr7qfsKRdjNXWlhxLtVUKL1RKspMU\nwjuEKjUnxs5kPIDCUAcxFITdillyzhwCwHMA+GNmXZaVMW/+LYP4cl4Ah9F1VW3AXb1/K53s+pNw\nWqxJ8RtW1QAgJTFSnTU2TpekjdDFRnN2/YOBz+f3btlevqZgc+mrhUX6A8EY85nFyx4TiaRv8Qju\nbzXYMIzf73TZmq02o8FkaTI0t9Ya6hr09U6Xtct7TcnnCScoJPGpUmGCRkRq4oSCWCXJi+ERRF9/\no8kz16461N/YKIqKA+sGdT5OT+ZMAWuL7gVrRvQGTdMbO13zHAAjTdPv9fd1Oc4ORVGzAbwM4JrO\nReaBY48AWAzABuAIgIfA1h//GYAVbGE7A+ACsPcbP4C9NE0/159YknPmzAEwFwBmPfHCIokqghNn\nHADgatqy7M7W7d9PRqdJ3pTESPXi+2Y9EkqTMVrf8NOHX+68trsoy5k8XzBt8jWbYqIS54QqtmDj\n9rgsLa01pTW1JWVjbCeEU5SS7GSJgBLyeFw5St8snrl21fuhDmIoCMcVsziwosQlj4mPGeTXIsE+\n+EwB8AgALCoobkHXVbXdS+ZPMfc6QhAI5FofCmyd7fqzwK6uxYHtyUCAfUDrkZPVrcaT1a1GAEcB\n1q5/QpZGk5bC2fUHA4fDbV6Rf/CzA0dr/1VYpK89+xV9k5ebTzqc1s8kYvldwYiPoyt+v8/rcFob\nrbY2g9HcaGhqrTYYGioaPV5Xl/dQtIAvuTBSnjpGIkyIF5GaWCEZI+fzovvRyHsyAu/h/kDTdANF\nUdcBWEfT9BUAQFGUGuxE1RYAO2maNna7zIk+PhM4Bk5gpfJWAG0A/kVRFNXp8BYAGwBcStO0gaKo\nLwHMp2n6B7D9cv4H4A80TeuDvGIGgIBIphjseyRH+CCKmXd7buvOH5bA70tu33myutW4+8Cpn2de\nMOaqUARVVt6w4eOvdi4oLNJ3qfnPmTxfkHPetZujI3WzQhFXMHF7XJaWtpqympqS0hRbhSBHKc2+\nRS64TahUd4gxq8+LU04nkkRiKMjgPJqbvF7I+HyQI6OqZXyoAxgqwlGYpQNwAYA0IioUN50oAPMD\nGwD4FxUUH0NXY5GSENj1C3GmXb8SZ7Hr33eoumbfodN2/Zo4pTybitcl6wJ2/WppAsnn7PrPRnOr\nteqzb/e8V1dveq+wSO84+xV9k5ebH+1y2TdKxPIpwYhvtOPzed12h7neamsztJkbDE0t1fWGxoom\nv9/X5X2qEwsU2WqFJkks0GpEgrgYIRkr5fMighRGdhDGmA9gE9BRu3QIwDYAdwD4gKKoFJqmwysN\nIswJ/L4XUxT1EoCjNE13MdugKErUydhjH4AMiqLaV1Z7/Fu1p6rSNN0fUR0HAOrElAgeSXKf3Ryd\nuTD96U9/0L/+uy4pjavWHdwzNjVmXEyUPLmPa4NO6fH6dUu+3nVjd1E2O+dm0fQp122JitDOGMp4\ngonH47I2t9WWVtceLUuxniCnKSXjbpYLbhUpIyTdz7X5fHin5hQmyhT4ttGApxPHQNlNnNl9PnxY\nVw2GYSDk8fCwNhFkwJTZ5PXireqT+NuYdGxua8EOkxF/ThqDozYLZqqCdfsKORPOfsrIIByFWcd/\nmUipHg6zgTwA4wLb/YF9lkUFxXvRNQVyUO36AykAZYGts13/OJxugh0L9m/eqxulocFsNTSYjwE4\nBgAkyeNlZcTHjk2N0Wk1Kl1MlFwnl4miBvNnCTfKTzQV/29Z0etOl3dlYZF+wIL8+cdXTgZBbBSJ\npLHBiG+04fW6HTaH2WCxthraTPWGxuZT9Q3NJ1u6n5cuFUZkyWSaRLEgIV4kiI8W8mNFPJ5iEEPL\nHMjFASH2PAA+RVEPA5gJYC+Ad8CmJpEAbqYo6i84neasAeCjKOp3ge/FAF5qb7TJMTAoivozAANN\n018CUAPovmIJAF9RFPUK2EyF6wG8CmAB2JRGD4C3A4tsFwD4hqIoD9j7yi4AL/2WeALGH1EAoE5M\nGQ73R45hBl8kfSEiZ/5dbbsLzkMgpZFhgO/WFv/w8L0XPczn84bkubCENvzwyTdFCwuL9F0mHy6a\neoP4/IlXbo2KSJg+FHEEk4AYK6upLSlLslTwLlCJs2+WCW8RKdRniLHO1LicuC1WgzSJFHa/D1VO\nB8bLu96KisxGXBEZjWyZHF/W1+GI1YrzFEoAwPJGA9wM++hR5XRitioClQ47RCOrm04wJjbDgnAU\nZpEAQBA8QiiTD1eBoADboK6jWHVRQfEJdF1VOziYdv2BVTUjgJ3t+2ZPTyfB1qml47QDZAT6sOv3\nev3+I2V19UfK6uoRMChpt+sfkxSVGB+r1EWqpVqBgD/qilX9fsa/c2/lhlXrD71aWKTfefYrzs6z\nj357p1Ag/h+PN7wsjIcrbo/LYm93RjTV19c3VhpajXWmzufwAGK8XBwzViaK14kEungRGRspIOME\nPKLPm+UgQJ39lD65H6zgehHANTgtvqa0f03T9HIAyztekKL+CMBK0/SHA3xtjp75GMByiqIeACu8\nfurhnDwAS8Gmmv9A0/TPgf2rO58UpFTGaAAiAC5ZTHz0AMbhGLlIYi6/9w9tezZ8CYZJbN9ZcbKl\nde/Bqs3Tzx98O/ojZXWr/7ds9609ibKpk64qjFRrLhjsGIKFx+uytbTVlVXXlpQkmvXtYuzms4mx\nzlBS1peNtttQ6XDguqgz52TnRZx+3LX4vB0ramU2K0Q8HlSBVoUMGPjAoMRuxTU9jBPGROxYsDBq\n5tpVZ0yyjjTCVpipk8ZEhFnTzNTAdkfge+eiguJidF1Vqx7MAAIfgp1tmzF7erocZ9r1i9CHsUhr\nm93x664K/a+7KvQAa9dPpcXGUGmsXX9MtEKnlIti+lGDEza43F772h+PfL1r38nXC4v0J85+Rd/k\n5eYTdoflHYlY/uhI/r0NBJfb3hZwRqxvMdYZDA0VBrO1xdb5HBGP4J+vlGjSpSKNViTQxonImAjW\nGXE4CN3UHQsWkjPXrupvzdcX6Pq+bP8/SQKwDkBIakRGMzRNtwHo08KbpumjYJ0Zz4YYwEBTD1MR\n+B+RqCOH68QlR4ghCGJ2+h8/zdf/6/4uKY0r8g/uzkiNGRcVIUvs4/IBcbisbsVny3bf0V2UXXzh\nbdKpk+YXRqrjzx+s1w4WHq/b1tJWW1ZTW1qqNZcTU1Xi7JukwptFcrW0v2MyDIM9ZhOkfD74fTwC\n6B122H0+pEmk8DJ+5Lc04VFtEv5TcwoAMF6mwHZTGybLFXi35hSuiYpBlkze37CGG2PAtpsZ0YST\nsEFyzhw+2BUev0qbHO6zgWIAMwIbAGBRQXEtzrTrH3C9Ul8UFumtYNOh9gIddv0JYGf3z9mu/5i+\nsemYvrEJbG84yGUi4cRxCdrUpCidJk6pi4qQaUUjxK7faHLUf7li7weVVS3vFBbpTWe/om/ycvMV\nTpdtnVSimB2M+MIdhmEYp8vWbLMbDSZLc31LW62htr7c4HBauvS2kfF5ggvVUl2qRJgQsKePVpH8\nWB5BDNfPNRJsDai+PxfTNO0KpLz9E+x78h9gU44vBuvm52i30w9GsBxDC03TlwZhmGgE6tbEShUn\nzDh6hS+R/0015ZJ7TMWbO1Ia/X6G+W7tgbUP3T3j94OR0niopPa7z7/bc2dhkb7LZ9Tls34nOy/7\n0m0Rqrjzgv2awcLjddtb2+rKqutKS7TmcmKqQjRuoVR4k3gAYqwzBEHg7vgErG5qwEGrBdOUZ/qw\nWX1efNNQh8XaJABAQUsz5qojIeWfNgOeplQhSiBAk9uNSXIF9lvMI02Y7Qt1EIPNcH2A6Y1osDOK\nLmlk9IipaOyEFsCNgQ0AvIsKiofUrj9QI1UT2AD0atcvQ8CEpSesNpd7597Kyp17Kyvb941JiozI\nyojXJWrVurhohU6llMTzeOGVBH2qprXkf8t2v2G2OL/uPuPXH158ck26z+fZLBbJkoIRX7jh9/t9\nTpe10WJrM5jMTfXNrdWGusaKBrfb0SXNN1LAF0+LkKWMkQq1GpFAEyskYxR8Xjiuyqajn8IsgA3A\nw2BrR+WB8ZaCdV+cASCNoqiTAHzdBVrAcIJH0/SgpVBzhBx1+xdCqSIylIFwDHtkcVc/uNh0YMsy\nMIyufWf5iaaW4iM1v1wwOSkYEwUdHDha882Xy/fe212UXTnn/xTjqYu2qVVxk4L5esHA63XbW1gx\nVppgPo6pCnHWjRLhQrFMFdRJ5oKWJqhIEjNVEXD4fJDyznws8jJ+fFBbjZti4hEtYBNASm1WlNms\n2NLWgiqXE58ZanGfRosGtwtxQhHsTl/P7kLhRxuAKvSyODDSCDdh1pGmIVIolSGOZSjoya6/GV1X\n1faEyK4/BqyZQbsD5Fnt+iurWtsqq1rbwPbygVhEkuOzNJr0lGhdQhxr1y+RCIfl35VhGGb/4eqt\n36za/wqArcFoGv3Xx5ZfTfIFy4UCcVBm3IY7Pr/P43CY6y22tnqjudHQ1FJlMDRWNPp83i71jRoR\nKRsfJU9Olgi1GpEgPkZIxsr4vJHykJk2kItpml4R+HJHoK4pn6bpbwCAoqhWsJ+PfwdwCUVRHb/X\ngPkHD2z92RsDiYFjWKMGAB6f5PFFohEzTc4xOBAEMS/tqY/zK95c5Af7+QAA+G5t8c60lOisSLVU\nO9DXYBgGB47WfvnVir33dTfHuvSiu1UTsy7eplbGDhvHPa/X7WgxGspqaktL40y0f5pSPO5GifBG\nsUw9aBk/c9SR+KC2CtuMbdCKxIgQCLC6qQE3xsR1nLPN2IZTTgfWNTdiXXMj5kZE4S/JqR3HXz91\nAvdptHD4fFCRAiQIRfiyvg7XRQ9vDyCGYRiXz2e1e70mm9drtHjcJqPLbWxzOU0NTofJ6vas+O5E\n+dZbvns4AoB0ZqgDHgLCqsF0cs6cq8E6VyHngSdvUmmTRo1LSx/4wToxdjYWKR1Mu/6e6MWuXwHW\ndeyc/8kS4pSK7EyNLlkXoYuLUejUKqkm1Hb9Hq/PtWFz2fKtO8pfKyzSlwZjzL88svTvErH8OYII\nrxXDc8Xr8zjtdrPBYmutbzM1GBpbThkamipbmG4fOGMkQtU4uUiTKBZqNSIyLlpAxon5vGEpzoPE\nP2euXfXnUAfBMfJIzplDAPgrAFKpSVROf/CpJ0Md01DjsVlhrTkBuTYFAvnZP0bcFiNIqRy8sCpX\nDzoWw/f/+Z35yLaOlEYAyMqIi3ngzukP8Xg8fh/X9gnDMCg+XPO/r1ftW9RdlF0553519tiLtquU\nMSF/jvN6PY5WY92x6rqykjjjMd8FSvG4MRJhloTP4yY3BoiPYXxOr9dk93pNVo/HaPa4TUa329Ti\ndBob7HZTnd1mdjN+H6lRKgQJShUZK1fzI6Uqvkqs5slFKn6kRMATC6LAPk9uWn7rB5eH+mcabMLt\n06gj6VYglY3kh7ffAg+sjWg2gP8L7DP3YNc/0KalfdKLXb8ap5tgn5Ndf12D2VLXYO4YhyR5vHFj\n4+MyUmN0Oo1aFx0p08lloiFbPbHaXC1LV+//tKy84Y3CIv2AWx7k5eaLHU7rcqlEcW0w4hsOeDwu\nq81hqrdYWw2tRoOhofmkobm1pottOAEgUyaKypSJNFqxQBcvEsRGCcg4IY/oWC00ej2ocNqRKpZA\nwu/6LNDqcSNSMBz8OwbMoBXVc4x6pIHNLYuJC9v7o9dhR9mX74Lx+8EXiZB1zx/AI0mUr/wUkZmT\nETW+Z28Ij92Kkk/+ichx56Fi7deY+MhzIHg8HPv6v/BYTJAnpmLsLQ+gdttGNOwtxKTFz6Pt2GHE\nXTDqS3sV8dc/+pD5yLZVYOvLAQBl5Q1NB4/WFk6ZmDi3P4MyDIP9h6uXfLNq/++7i7KrLn4gMpua\ntV2liM4aYOz9hhVjhmM1dWWlMcYy7zSleNz1EuH1kgQ1J8Z+Ax6/3+Xweo02r8dk9XhMJrfb2OZy\nmZqdTqPBbjM1OhxWCPl8QaJaRWoUKjJapuarVWqeSpzMl4vUkTKhihCTSoJ/ThMAg3b/pChKDUBK\n03TdYL3GuRJuwqzjDSMQS8L2xjMEKAFcEtgAAIsKiivQdVXt0BDY9bfhTLv+FLApqe0OkGqws3S9\n2vUfLq0zHC6tMyBgUBIVIZNMyNLoUpIidfExSl1khFQrIINv129oMOs/XVb0dkurbUlAeA6IF59Y\nrfX5vFskYvnYYMQXCtxuh8lqNxnM1mZDq9FgqG88YTCaG62dz+ETPoVQ4HhwQZR2j1Yk0MWLBDER\nAn4cSRBd/kY1Lie+bTDgj0ljUO924XNDLbJkcqxorMdzKalY09SIUy4nntIlo8xuw0zViBBmurOf\nwsHRL6IRcOqUqCPD9v7YuH87dBfPRwQ1EeUrPkXbsYMgJXK4zaZeRRkA2OqqkLrgbihTMuC122Ct\nqYSj0YDY82ci7vyLUPbVf2CpqoCt9hTip8+FpfoEeMJR1+WlRwiCuDztyQ/XVbz1+y4pjcvWFG9P\nTY7OUqsk8b9lPIZhmL0Hqz5e9n3xIz2IspjssRcVKhVRA+rr2B+8Po8zIMZKotuOeaYpROOulwqv\nkySoB7N/ZdjCMAxcfp/V4fWZrB6P0eJxm0xut7HV5TI1ORymOrvNaHK7XTy1WCTQqdVkglxFRslU\nfHV0Ak8pyuLJReo4qUBFiEh5kMrBB3Ni80mwiwcPn+1EiqJeB/BOu4ijKOpvAD6labqaoigBAIam\n6R7LeiiKEgLw0jTda1ZbWAozguARpEjMvZF+G2mB7c7A945udv27lsyfUjuYAQTMMvToZH7Qg11/\nLFjHyl6FUEubzfHLTn05dqIcAHg8gqDSYqPHBuz6Y6PkOsUA7fqPlBl2frF8z6s+n78gGPVkzz22\nYhaPx88XCiVnWi0NQxiGYVxue6vVZjSYLU2GFmOdoa6hot5mN3ZxCZXwCDJHJdWmSYWaBJFAKyeJ\n2O8a6zRWn4C4Mlq5oI/x8V2DAb5AZmON04n7NVrECkWocTnR5PbA4vMhWSRGlcuJKDKk2aznjNvv\ndzrgt9v5jMsmhNcs5vkcKoHTGSczGRV8uUnOF46GHHmOkBCHwOemWBURtsIs4aLTmUoeqxmkRI7j\ny5cgMmsymo/sQ/SEqT1ep04fBwAwVpTBXFWBpCtuhMdmgd1QDa/DBldbC0QRUWDAgPH50EYfRtJl\nNwzJzxQOkIrIl+SZOf9nPbZ7MgIpjV6v379q/aE1992W8+C5GnX5/Qyz92DV+9+uKX6s+71z/txF\ncdnURYVKedSQTU6eFmN0aVRbiWuaQjRugVR0nTRBNeqfIf0M43N4vWa712uyej1Gi9tjMrpdxhan\n09TgcJjqbDaTi/H5yDiFXKBVqshEuZofqVbx1eJ0nlykEstFKqlUoCaGro+t7JbvHlYtv/WDAblh\nUxQVB2AlTdOzAt9TAB4HUBzoJ6kBYACrkYw0Td8WOG8lgFsBbASwkqKoi2madgO4BcD7geHvB3A/\nRVHtCx+TARzs9PIiAPcC6LUsJmyEWSB/Xg4Aspg4GcHrwbaG47cgATAzsAHosOvvvKq2b8n8Kc7B\nDKIXu34tgLE4R7t+v59hysobmsrKGzrs+hVykXBiVoJ2THKUThOr1EVFynQiIXlWkw2fz+/dsr18\nTcHm0lcLi/QHgvEzPrN42WMikfQtHtH/XP3BxM/4/U6nrclqbzOYzE2G5tYaQ12Dvt7ltndZUVWT\nfNGsCFnyGIkwIUEkSIgVkjEKkhfNI4iOn8vh8+GRTj1VemO7yYhMmRxHrRYAwFSlCj6GwSGrBXaf\nD3FCIRgw8INtunlZRGidv71+v9sBv93OY5w2ATxWMeE3S/mwKEieRSUQWtUCiS1CKPUL+WKwEwu9\nYevj2KBBUZQYgLuvWTqOsEeBQD2vSK4I+4dO88nj8DpssDcZII3TInHetajdthGutmZoZ1/Z4zUM\nw6DpwC4IpDIQPBKqMRRaSw+gtvBHSOO0IKVyRFAT0bDnF0Rln4+ST95A0mXXQ50R8jKn4YAq4ean\n7jv+0q3rwd57AQBHjxkaDpfVbZucrZ1ztgH8fobZc+DUf75be+CJHkRZQvbYi35VyCPTByH2Lvh8\nHlersf5YjeFYSWRrqXuaQpi1QCq6RpqgDtsJi/7g9fvddq/XaPd6TRaP22hmhZepyekw1tvtpga7\n3eoX8AlhokpFxitUZIxczVcrVTyVOIkvF6rVMqGKJxGozjHNcKiIAdBvYUZRVATYnqCywPdKsKZY\nD9M0/W1gXxFN09f0cHlGwO14C0VR6wHcA+ATAHKaphsBgKbpjwB81On1DtI0fdFviTFshBnYhx0R\nAI8sOnzz54c5WgALAxsAeHqw6x+I1fdZCaQ9VAc2AMDs6ekSsELtnO36LVaXe8feysodnez6U5Oj\nIrIy4nT1UsfNAAAgAElEQVSJCRG62Gj5GXb9DofbvCL/4GcHjtb+q7BIP+DVw7zcfNLhtH4mEcvv\nGuhYwcLv93ntTkuD1dZmYJ0Rqw2GxopGr9fdRfTGCknphEh5UoqENeUIOCNGnW0VsnttWE9YfV7s\nMhvxVGJKhzADAJffj71mE6IE7OqYTiSG3mFHBCnAa1WVuDc+AQmivjTPb8fHMD4n47fZCb/DJoDH\nKiJ8FikfFgWfZ1EKBFa1QGxVC6VeKSkEEIxcStkt3z2sWH7rB5azn3puUBT1AoA6mqY/6eO01wD8\nAGBLsF6XY9jR4RonlJ6D88UwxmOzQr/qc4y770nUbF0HzYXzIFSqETf1IlSu/65XYUYQBDJuuh8n\nC5ajpWQ/2o4dQsbN/wdSLEXNL+vRsPtXaGZcAnFENJwtjYgcdx6aD+/hhFkAgiCuTn38vYIT7z7K\n4HQDeyxdtb9wTFJUlkohju3tWr+f8e8uPvnO8h8O5nYXZVfPe1A3npr1q1wWkdrb9QPF5/O4Wk31\ndE0dXRLRWuKcphBmXScVXSNNUIX1e6EvXD6fze71Gm0ej8kSqO9qdTlNTU6H0WCzm9rcLidPKRIK\ndGo1qZGryCipiq+OjOcpxRRPLlTHSoUqQkzKw6ztTAwG1nLGB3bVa23g+zEAvgJwLUVR7c9qFEVR\nBWA10sc0Ta8M7O/8f/0Pmqb9FEXJwZbt9ApFUQQAJU3T5yQow0mYRSCQ+yxSKCUhjmW0IABwfmBb\nDPRo1797yfwpQXvI7InCIr0DZ9r1x4LtrdZuLNJeX9GrXf+JUy1tJ061dLHrn5CVoElLidZFqCVR\na388+l1dvem9wOsNiLzc/GiX2/6TRCwPWcNMn8/jsjss9RZbq6HDGbGxstnP+LvcNJPEAmW2WqFJ\nEgu18QERJuHz1L2NO1BWNjZgYUwcyG73AimfjwcSdFhSV41KpwOXR0Yj1mKG2efF+QolDlut5yzM\n/AzjdzF+u4PwO2wk3BYh4bVIeYxFzudZlAKSFVwCiVshlICtyRzKm3csgGC+Z1zoIfU3cJNZBPZm\nMgnAlICI4wP4b/vsIMeIoaMGm5RIwtbAwO/1ouyLtzHmmtsgjoyBODoOzpZGAICl6gTEEdE9Xle9\n+QdWvF0wG16HDaRECq/DBltdNZQpGbCc0kM9djwAwNFUD0msBl6HDQzDLSJ3RqCOfVmWNvlBW8XB\nSQhkqXi8Pv/3BYfW3HPztAd6Smn0+xl/0f6T/16Rf/BPZ4qyh5Kyx876VS5TpwQ7Vp/P62oz1dPV\ndcdK1C2lzmlKQea1UtF8WYIqLEoG+sLPMH6nz2u2e71Gq8drYm3kXcYWl9PU6HCYam02k9Pn85Jx\nChmZoFSROrmajFSqeOq4VL5CpBLKhCqNVKgm2CyOkcSA/P9pmjYDAJu9CNA0fQjAIYqiCmmanh04\nVkTT9PzexqAoSgX2vWEFMBeBZ9M+yALwLUVRC2maPmsv4nASZhoEHj4EYslI+0cLJ6IBXB3YAMC/\nqKC43a5/F07b9Q9aH4bAB39DYAPQYdefDiAZp+36lWD/Z3qMxenyevcerKree7CqFmwO8Jruhcr9\n4fk/rDwPIDaKhNIhayDi8brtdrvJYLG1GlqN9YbG5pP1jS1VrZ3PIQBkSEWRmXKRRicSaDUiQVyU\nkB8r4g2tJTBtt6HBzS52VrmcWN3UAKvPhxylCpRUBrvPD2kgc8Lu90HM48PLMHAxfjAMAzfjtzvA\nOGwk47IK4bVKeH6LjCTMSpK0qgUiq0ootatICcH+XMPxATVioANQFFUGoH1VNwmAm6Koe8BmFlhp\nmr4SwDIA34BdZf6ApukbAtfy0Gk2nGPE0PG/zifD19WifvdWWGtOomrTGlRtWoO4aXPQWnoAjQd2\ngfH5MO53T8BWX4PG4h0YM//WjuviL5yHsi/egaFoK2QaHSKoiSAlMhxf9iGcbc1QpmQgdspMeJ12\nCJUqSOO0KF/+CZKvuDGEP+2wJEJ7xzN3Hn/p1k1gJ5EAAIdK6gwlEw07J2QldEnL8vsZ/659lf9c\nue7Qs91F2TWX/D55PHXRrzKpOjlYwfl8XnebqZ6uMdAlyuYSe45SkHWNVDRfplWGlRjz+v1uB9u7\nq8NGvs3F1nfV2+0mg91m8ZM8QqBTKQUapYofLVOTkQoVTynW8RQitUomVEWwaYYdz/EeiwvORhsE\n0TLwRV0f790mJ4SqEfHoHFRXboqiSLClMj0+Jwbul2gvA6AoSgFgHYB/AsgH8DuwqZG9QtN0KUVR\nDwNYR1HUdTRN032dHzZ9zJJz5swFMAcAqCuun5I8fc6IsRsfgZjA1ox1ToFsGcoAOtn1j8Npodab\nXf/GwiL9rmC87rOLv71LKBR/yuPxB81C0O1xmm3tzohtBkN9U2V9m6m+S5NxPgEiWyaOGSsTaRLE\nAq1GSMZGCsg4kkcMySfz66dO4M/JqSizWVHnduGSXmrE2s9rcrvxUV014wfjS5FJHTN0McaTfg/P\nLCIIj0rA27anMib1ygwXmRUtZsiwry+9fPmtH2wayAAURR2maXpi4Os/AqinafpriqJSALwH4GMA\nfwE7MREH9v++c3quEMDfaZreOJA4OIYPyTlznkSgpczFT7/0mFAqHylN2TlCgLvF8PvK//5B03mf\nSEjyn33isoeUcnEMAPj8ft+uvSdfW7X+0PPdRdm1lz6SNi5jxhaZVJU00FhYMdZwvKaeLpE3H7FN\nlwsz06WicTJy8DI7BorL57O328hbPB6jye02tbFuhsY6u83U6nI5eDKhQJCoVpPxChU/SqriqyVq\nvlKk8oGIrNmoj09fNJVH8HpPM3Q0WFG3oRxpvzsPrmY7qteWQZ4aCfOxJqQvmoqGrZWw11mQes8k\ntB2qR+RkTW9DhRNPLb/1g7cGOghFUb/QNH1xwFFxOrpmW80EsCPwNR/sxOYPFEUdBGAG8CZN02sp\niloE4Amw99braJo+w5MhUGM2OfD1XAAKmqZ/6Cu2cFox63igJLkVs+GOCsClgQ0AsKigWI8z7fp7\nTTscKJ3s+tvfXJ3t+tNw2qp/XWGR/sRAXy8vN5+wOyzvSiWKRwc6VjsMw8Dltrfa7CaD2dJsaDHW\n1RsaKgwWW6u983liHsG/QClJSJOyIixeSMaoBfw4PkGEzMrwz8lsKUGWTI4MidRj9Xttdh7jsgrg\nbjfOaCD9pEKjlS5Jl/BcsVEyhUhHeiwusqrRpmjWKRWdZ/wy5iTAbXJK+WS4azIAQVgxQy/tJdoJ\nfPD/EJjt2wZgIU3T9UF4XY7hS4e5EY8UhO2KGcfwQBileVmakv2I/WTJRARSGl1ur2/thiNr71w4\n9f8YhvHv3Fv58uqCw3/vLsquu2xxxrixM7fIJMp+twfx+bxuo7nheI3heIms6bAtRyHMvFoqvEKe\noAq5GGPTDH2W0/VdbpPR7Ta2OJ2mRofDWGuzmhw+n5cfI5MKtCoVmSBX8yOVKr5anMJXiFUCmVAV\nLxOoeULyjLIcr8ODmhUlYPwMCF7viQ0Mw6Dux3K0VyY4GqxIvCELokgpnA1WuI0OeG1uSBMUcBis\nI2W1DAjO/bMDmqb/1n0fRVG7u5t/BGzwYwH8CcB+iqLeBZvJNwXAQ2BdGhcEzEF6e62t5xJTOAmz\njhUIUijibjrhR3pgay+udCwqKN6Prnb9g9rYrye7/mCQl5uvcLps66QSRb87lTIMwzhd1iarzWgw\nWZoMLW219XUN+nqH09rF4ETJ5wlnqmVJqVKhRiMiE+KEglglyYvp7Iw4VLQbZzgIv9MqgNv6/+zd\neVhc930v/vc5Z87MsAwgNiEkhCUkjSQvspEN3vEWL7ITOU4cN3ubJk3SJmnS3Kc3v7Y3vW3T5Da9\n6m3SNkuV3fES27IVy7YcSZY12qxB+wJoENsAAzMwwOz7Od/fH2fAAwKhBfjO8nk9D4+Ywxx4gw3f\n+XxXg6AE8iXmL5SkIT3THz3SXbbmT25R4/myHloRPGFS794bbVj1hVsRT7k2uKvjoh6/QPdYtvT4\nzcV6Np3ZbN6TfH98KuMfQ+vASh09NUFbK/pick59GbSNdNbabLZukKyQ3LVYj+R0HFHSURtJrlX5\nsk9/++n2f3rmALS/GwCAE2f7HTeuqz7o9Yd3b9959jtTi7InH/7q2vWr79yTn1e09Eq/oKIqcY/X\n1d4/aGspGD7rbzTJazfl6x8pXLqwxVhCVeNhJeENjU8zjKVMMwyHvIOhkE8RAXlpcpphRUGJVFpW\nLBUZq0WToaSoQF9ckicXCzrxijtHBUFA7cduQPfzZy75vNGTgyhcsQj+Dm3FQsn1lWCKCp/NDSWc\ngKFU66dhKkOwx4PyO7LmCM05WQ9us9nuu8SHL1oCYbPZ4maz+SZoywAOAfh/AL6enOL4Q7PZXACt\nw3/q69gCs9ksXapgmyojCzOJCrNskAfg7uQbAOALb53ox+RRtePzvV3/tfr7b2xfpSjxd4yGgsue\nrqGqqhJO7ozo9Q87h0f6BgdcHa54IjppBLFclvJuLy1ckdwZcUmlXldRKInl872DksoYi2oFVzio\nQyygbZwBf6Ek+ItkOVAsG/yLZt44IxGOo/flFiREIJ4/fbs0Xe9exBXMlR6/udjK/HM2m60ZuGgq\noxFa4QUAsNlsXrPZ/HEA3dAKtJ0A/pKKsqwjIzlNW9TJoihJmdS2kzQlCMLT131pyx96fvLN1Lno\n4q9fav7e/iMdO//q7yc//8lHvrZ+7ao79uTnmS67B228GHM421vyhs74G02yeVO+/gOFS4vmdGQk\nVUxRQqGJ9V2x96cZRsKegWDIOxKNhIQ8WadfXlKiW2wqlsoLSqSSRRVSkXGVaDKUVOTLxYJRNgmX\nebbblZCMs//qJkJxeE47sfIzN08UZgCgxhR4WoYgl2htpbGyAME+H+RiAzp/fgLLNq+FsaJgpk+b\nKWY99uhKmM3mEgD544dFA4DNZpt2m1abzeZO3rN+6tEzNpvtezPcs/pKM2XSH+/UwixrXqGRSZYB\n+GjyDdC26z+NyWvVOnmFm+pvv/rS4zpJfkkvG2f8Q6EoiVgo4ncGAqODHt+Qc2ikd3BwqHNYVZVJ\nv9TLjLLp+mJT1fI8edkSg7y4Qq+rzJfEOW2Ypm6cEdQj4TeKqr9QJ/iLdDp/sWwIlMh5oWI5/1o2\nzricHr/peveM5QW50uN3zYXZeFGWNLGZR3KO+9Qf/CehHYERBPCCzWajLfOzjwHv71pMHZdkzhgq\na75rXLr6KxHHhZuSlw7tP9Lx9tTnPfnwV29Yt/qO3XlGU9Vsn1NVlfiY13XB4bzQYhw+42sslMyP\n5RseMi0tuuZ1kSpjLJqcZhjQphl6vLGYdzQa9brCIc9AMOgNJhJxqTw/T15aXKJbUlgslZqKpZLK\n5aLJcKOu0FBSlS8Xi4bZzz3lZXB3B6oeqoMgTa4LpTwZy59aj95tLQg5fKi4czn0591IBGMoXl8B\nn20kGwqzud6V/RvQpih+ebYnms3mfwHwg/EiLrk+7ec2m61vmue+Z7PZ7riaQJlUmE00NpJM8+dz\nhAzg1uTbVwDgC2+dGMbk7fqb53u7/ul868+f/4c8Y+HfCcL7PWaJRCwcDPsGA8FR55jHOehy2wdd\n7p6LNj2py9eXrCsoWLLcKC+tSu6MaBTFaxqej6tqNAw1FJJYJCAj7s8TVX++JPhNkuQv1usDi+S8\nUIm+gOnEfMzS43Stw3GX0+MHXNy7N921LO3xm+uOpU0AeqCdxTKJ2Wzea7PZHjCbzd+HVpz9yGw2\nH7TZbHNyeDpJG+8XZoVF1HFJ5lLl8s9958n2f3rmGICW/Uc6dk19wpOPfO3mdavvfDvPWLh4mvsB\naGdoenxDFxzO9hbZddpzh0lnfizf8KCp2nRFxZiiqomwoniDibhWeGmHJnvc2m6GnsFQ0J8QwOTq\nIpOuukg7NLm0tFgqNi4RCw3FhQX64qJ8uVjQzd8GXfMt0ONBdEQ71SfsDGBwTyfivigW3VwF08pS\nKOEEpDytHVYicYh6CUxRwaKXPZtuTjHGGFOZwlSW0N7UxPvvM4WpaoIp2nU1+S9TVEVVWIIpakKU\npeGS2rKjACIAWi7na5rN5sUAXrHZbPck14e9Cm1Hx5/bbLZfJJ9jBvA1ACfMZvMb0NaMDUKrjTw2\nm+2Pks97BdrZZ3+AtpbsPpvNFgPwMQA/miHCVRf2mVSYTfwSCWLG78pGrl4FgCeSb4C2XX8rJk+B\nnLft+v/xmzuM4UjgJVmnv8/rG+rwBUado97BQddwz+DImGPS4YEiIFxfaCw3FxiWLDPIyxYbdJVl\nsq5SFoXL/oVNMDUeYWooJLLI+MYZ2gHIOslfrB2AHCzW5ytGyYCUzotMMLV3r6Cm+JI9foV12m5T\nWVCYzfV/p53QGpMJZrO5CNpOpGJyp8a/g7bxjQLgX5MHXv4zjZ5ljSIkN2iQ9IZMatdJBhAE4ROr\nv/WbV37+5J0XFWVPPfr1jetX37nTaCi46HiY94uxCy2y67Tn9kLJ/GiB4X7T0qLpt+kFEFOUcFhJ\neINxbX2XNs0w4hmORLyDoZB3OBIOCkadTq4pKZarxqcZlpRJRcaVoklfUl6gLxaMctF8TDOcK33b\n2xAZCqJoTRkW37dixufFAzFc2HoMlXcuR8lNi9H7SqvWFq5YhJoPrYXb2o/wgB+V916HkaP9cO7t\nhmtvN0yrSmEsL0DUHYKxslAVZTHR/fwZeenja0LxcCw2XgQxlSVUVSt+mMoU7V8oTBVUpkBlqsCY\nKjAogsoUkYGJjCkioEqMqaIAVQJUHZgqJd+XRTBJEJgsQtGJgE6AKouCIOsEQdQJgk4niJJOEERJ\nECSdIEiyIIh52se065Ig6tqO/cuWcHAwkPojGzje8/PL/fmazeZF0LawH3+x8FUAx2022/82m81v\nmc3ml6H1Qb8E4MvjZ3omzy97YppPuTq5Rmyv2Wx+E8BnAPwMQKHNZhuaIcbEa9Bkeyte7jqzTPoD\n/v6Lmcw6pZzMLxHADcm3zyeveb/w1onx7frfgzYFcnSG+y/b2roGYWnVmqf8wdELPr/7ROrH9IIg\n1hflVa3ON1RXG3TVVQa5skSWKnWCMO2LcAYWSwCjYZGF/TqW8OkhePMEna9Q0gWK9ZK/WDYGS+T8\neIFsgLbLZUad0dK3vQ3hAT9c+7qnbXj6XmtDeCgAyahDxBVAxV21sL/SguhoGKIoIO6PorLpOrit\n/Rg61Iuq+1cgOhpCXmU6HkumYYwxMKYyFYrWRQgFDIwxpgqCGBVlnR9AgsX117xucrZzzKCNMD8E\nbdF+PYAv2Wy2hNls3mOz2R5KNhT0dzR7mJDc7pmaRzIfRL3xv77w1ol9WzfVj41f+8hjf3Xb2lW3\nv2U0FEyc+q0VY8MdA872FmnozOgdBaL5kQLD/UVLTWWMMRZjbDQQT7QF4zGPOxpRPNGobywa9Wi7\nGQa9gUQ8JpXmGeWlxSW6ZYXFUllhsVRSXiMWGW8QC/QlVfn6YsEgFaT7/+eMMTCVJcAmjxR5Woal\neCimX/b0OvfAmxcW6c+73HKJMawqTGEqFKgCYwrUsntXqV3Pn1upxtQCoaDsVN/rPYvF/JLEoutr\n3CPvnV3dv9M7EOz2VRWsWB1wvBmNsugiuWT1bR6masWQe68sQtVJ48VQ1YZ7JNUh6UIDySJIlIwQ\nRGm8KBIFUScIVzHoIUDbUH4Otx8TRf3Uz3altYoCbYTr98nH90E7PgYA9kObhTUKbZbJB81m8/im\ndGaz2fxW8uv9t81meyV5PbWj/3s2m001m82F0Hb+nskSs9l8JPm+lMzyncsJn0mF2fsjZvSCglza\ndNv1X8DkUbUzV7Jd/9q6BhnAxx3O9tUFkhi5oyR/2co8fXW1Qa5ebNBVFOukSlEQdIwxRRWEEUUn\nuEN6YTCYJ0a9BSIbyRMKRwvEQp9JKgoUyaZwgVQgiOKsc/Ezkad1CExlyKs2IToWweipQahRBWUN\nSwEGhTGm6kwGQe3zSoIgMF2hgYWdgWjcF5XVSEKEXmIQBIQGQn5P20heYV1FIh5Q4v4LY0WmVdWj\n4SEWBRMYYwKDKgBMAGMCS/4LMJGBCQJUgQEimCoATBTARGhvgqA9lsavC4AoQBUBJooCJIExURCY\nKDJIgqA9VwTEZG+gKDJIoqA9FgVIEpgoCtrexjM1USZoh7MDKTucXYO4zWZ7CJj+HDObzdYBoMNs\nNj+d/HrfN5vN1wNYl5yyMWaz2T49BzlIesjH+BEKArWPZF4sgbYT3R8DwFOPfeP2tXW3v2E05Jep\nqpLw+oY7HK6O1t7u5o7rjajYWKBfqssXKkbjyoBlxL9nOOAd7B51JmJgtbolpkXykqJCXc3ENMM1\nYqGhuKBQX2zKk0sE+dqmGTLGVDAWZyqLM5UpqqKqTGEKU1UleS1l2hxTtNEiQWUqVKYIKlRBZaoA\npogqU0VAfX+kCEwSmCpBUHQCUyVBYDqBqToBTCcIqk4E04lgsiQwWdRGh6TxQkgnCJLO3/Z2fn7F\nRkVpW1dakHfWEDmrLjcsbxClKZVmyN0BgyhBMAwjP/Th2xPyCUT9LuSF71stxntQXLipPC6/DYOu\nulLx+1C2+kHM4/GpC0qS890AnNA6mxQA7iu532az+QAguRMxoI2cjXdkjgJYnNy6/rTZbN5vs9nu\nTT7/iM1m2zTT5zWbzcXJPAEA9wM4fYkYgzab7fYryT0ukwozYdp3Cbk8q5Nv4y9GQ9Ns1z849aZD\nmz9SPBCJ3/v5ZaWfzzfqakwGKd8gS3LUKEaChVLEVywH+4qlqKdI5/UVSKUBo1AOSayEtph0RjP9\nH8y0pkFlKmNgGB+BUZMjMCpTtY44aB1yCiAojAmq9lyBMVX7VytSktdSChjtsSiACUwrRARhopBJ\nFi7s/SJmUsECpBQyTBQBURCYpBUt2scFMFHwnNmdl1/ZpJbdsI75HefkaIcqFNc0CJGj7xcuJUVA\nifYnSxg49izgujc/Mfoqlt/91xBEHYbObYfSs3qRFDdCF6lGrNuHFU2fgRjVV6Dn4p8h978IVxZg\nLqbYXPIcs2SB9iUAKwHYoE3ZeNZmsy01m82N0HoTSfZIacu5/zaQ7PXZL7x14sWx/3zOb17Z8Go4\n4nd39pyw2LqO2iLRQAwAIEI+ZjL2ti0RzxaWCvmyXlgqiLo7hYJlRUUFKwuEPDkfDGCKmoDCEkwB\nQ4JB8ap+xRdzA0oM0EUEUY4CuhhEQ1jQ54dUplMTEbVAibE8NS7oWUIwMgV6lhANTBENUCUdmCyC\nyRAF3aRiSBAkbeqcKMoQxLzktDmdqE2pu7qxnqscJRIEEUbTYkg6I3TGYkS9jotGuZmawMiFPai+\n9bMYOPprAEBe6QoEh87D030Q+sJKSHI+CipWw9t3DIWL12Pg6K9QuuoB5JevuqpvJ52svulLL+/Y\nsrl9Dj9lANqmIV5om5oFzGazDlo7Ou2yl+QZoBjffdFsNpsAvAHg+wB2QOug+PUcZpyQmYUZ9QiS\na5cP4J7kGwDgC2+d6ANwBKpy1hAaK5MjgcV46mOF/nhkUcQgCUKeflQQpSGt8AGYourUcDSfxRMS\niysJFlA8opf5tf9Vk8URBEEriCAwlemYChEQRAZtNAcQwbRBYIFBEJggAIKgQBRVAcJFfzCuef6Z\nMPHbI6Q0KlM/JZvyL5Bcv3JZpLiYV13qM1To4rGY0Rh2Owz66oR3uqcGB7sNKvOVFK1f4goH1xSP\n9r0p5FXWRIMjbaVVTQ8MCAWBvLH2EybT8rWhgZNb88tvvs9rqlnN6QgFpv230n4qQvLHIwAMjE38\nDFN+lkxI3gZRpw/nFVf0AYAaV11zEGa2c8wWAdgD4AabzbYfAMxm86jZbF4P4JsA/r85yEAIyTHR\n0cB3w+XL49bR3vMqY0wwlVYs2vDoEkEnxyXZGJAEAYIaz2OJWLEQFHRKUJAEQRThkZAQdaog6SIQ\nJQiijkEUVYi6uCBKcRVMYGrCwJhaAKZKjKkS0xYz6cDU8Z1nGSYasCkN1wzdXYwxlbGECiTiV9CK\nXaHxtgBgjAmCMKntTr6vfVhVoqXhgDPAdPpoxO/Mj0c8+kjI7UHKt+PptJTkL14Xj8eDQSURWRIJ\nugfdLTvKS9d8YESUjczb816Ru30PM9VsDBQyZkiEPZJcVC2N2Y/IYl7pxaNLKe0TS400/jUZhImW\nLfkzXsgX2QwMeoPJJcn6cPLSJTser8JxaEczvQJgA7TO+L8DcDsAf3IWCaBNZRx/XwLwYwCvJx+/\nCeD/2my2HWaz+QsA1gL4itls3pXcDXnOZGZhhjSfXEwyVQ2AGojS09HCckQLtZlnAi6xP+tcnEiV\nZcbOV6Oodklh0XV1YIkRiLo4ytbXXXRAaDwYgH3nz3HDn30TxtKK2rL1dfB2nUf/u2+g+u6HUHnz\n9csrb74evp4NiIwMGQuqyhEZGTSWrX+Ux7c1F1Ym/7XNwee65DlmNpvtTPJjX0+559vQ5tc/a7PZ\n0ubYCTInJtrE+T7nkOSugH3sjM/mWS9WXGeY6y2YJADIkql4l1JYuQ6JsL/IWF2OQDyC/EXXwZhf\nPulonLh/CHH/MELOtopEaBSejnevEwQRgpooNOSXQol4YShfDWNBeVlszI6CsjpEvf2AEoexoDRT\nX5XUzuPn/jWAt8xm8z0A1gOw2my2w1OfZDabrVM3/0ju6FgJ4K8BHDebzT+ENq23HsAXoe3SuBla\n14Ay9XyzlM+jA8AuZwOQTCrMJvpDqOEhJH2ZalbA221D0XWrEXDYkV9ZfdFz1EQCbb/+d6x44o9g\nLH1/M6/CpdchMubG2k9/deJaeNiJvMolSISDYGyuO9K4uOZvYrZzzMxmswRtDrxsNpurADwC4M8A\nPAegyWw2fw3Ai5fYUYpkKmoeyRxTVZWNnRo8GhtVGkQ6u/yaFCy+Hn2Hf4xExIfQsA1L6j8B9/m3\nUdQ8cdEAACAASURBVL72/Q7HmjvfP1Kr7/BPULXhaYTHeuE6/TLi4THkLapF0dKbocQjkAwmGEyV\nGDq7DaWrH5ruS2aiORnbtNls9yX/tZvN5g9AGzX79iWKo4t2F7PZbHGz2XwTtDb2ELR1ll9PFmA/\nNJvNBQAWA/hTAE+YzebxkcdIyuYfgFZvfQvaTJZLot8wQsicKrvxVpz+j39AzDuG0bZTWPeZr6H7\nrd9hxab3lzU5re8i0N+D3t3b0bt7O5bc9QFU3nIH+vbuwLKmxyHptc0sE5EQ9EXFyF+8FBde+hlq\nH3mK17c1l+a6uixEyuZIAGCz2RSz2fwAgL+BtmPpEgAfstlsI2az2QDgcwAeBPDCHGchfLw/N4k6\nLskcioejUeeBDq8sFTXQ/1rXTpKNqLnjiwi5L6C07j7ojCYYii7uvBxXc+eXAAB5i5bjuvu+edHH\nCyrWAABq7/3G/ATm47I3ZrtcyUOhX5rlOdfPcN0NAGazef3UETGbzfa95Lv/lHy7ZgJj83Lc05yr\nbWz6GyRffNzxpb/+hGnxktWcIxFCZhAPBeCxnUVx3Troiy6axZjrfrh1U/1f8g5BskdtY9O9AB4A\ngLK6tRUbP/XFP+cciWSBoGtsdOzksF4n56XvOSUkGy3dsWXzAO8QvGTSiNlEV42aiMd4BiGEXJqc\nX4iKW+7gHSNdBWZ/CiFXJx4OUftIrtlIq70/6lCrdHJeJr1OJNlhzkfMMklG/sJRYUYIyWB+3gFI\n1pnouIwF/VGeQUhmU1WFOQ+2O8R44TLxKs4bJmQOxHkH4CmTCjMFgAwASjxGhRkhJFP5eAcgWWdi\n3UMsGKD2kVyVeDASdh7sCsg60zLeWUjOUqCdN5azMqkwi0M7owdKnEbMCCEZi0bMyFybaBPVRFxV\nFUURpas8OJfkpIDD7facG8uXdaaK2Z9NyLwZ27Flc1Zsv3y1Mq0wA0AjZoSQjEYjZmSuRaAdm6AC\nAFOUGCRpxuMXCUk1fKa7P+4Sluh0RirmCW8XH5CdYzKzMItFqTAjhGQqGjEjcy0A7YxeFQBUJRGV\noKfCjFySmlDUwYO2QUkxLaPlZCRNUGHGO8AVmCjMEtEILW4mhGQqGjEjc80PrTCLA7RBFpldzB8M\nug7ZI7JsWso7CyEpqDDjHeAKTDQ0Ub8vyDMIIYRcg5xe2EzmxaTOykQsGjLwSkLSnq93aMjf5jPJ\nsqmMdxZCpqDCjHeAKzAxYhb2jNJUIEJIphrkHYBknRhSdmaMh0PURpJpDR3v7FNGpaWSzkCTF0k6\nosKMd4ArMDFiFnS7qNEhhGQi39ZN9XTANJlrMWjbTAMA4sEgtZFkEiWeUAb3t7t0MNUIVJKR9JXz\nhVkm/XqGx98JjbhDTFVzejtNQkhGcvAOQLKP3WpRkDKdMRr0U2FGJkQ8Af/AOxd8OpiqeWchZBZU\nmPEOcAVC77/LkIhFqdeZEJJpqDAj82Vi7XXU76XCjAAAvN1O14jVpZflwkW8sxByGagw4x3gCvgA\nCOMPEpEwNTyEkExDhRmZLxOdl2HPGLWPBK6jF/pCndFKSaenvWBIphjhHYC3TFpj5gKgR3K6RiIS\nphEzQkimocKMzJeJEbPQ6DAVZjlMicXjg/vb3TqhqEYQZn8+IWkk59vITCrMPADY+INYKEBnARFC\nMk3ONzpk3kwUZoGhQSrMclR4xOd1Hx2ALBct4Z2FkCsUBNDPOwRvmVSYhTBpy/yxUY5ZCCHkavTx\nDkCy1kRhloiEE4lIxK8zGk08A5GF5elwDAa7omWyXKDnnYWQq9C+Y8tmNvvTslvGrDGzWy0MKQ1P\ncNiZ8wsECSEZx8Y7AMlawdQH0YCP2sgcoaoqBt+z9YV7lCpJkqkoI5nqPO8A6SBjCrOkiYbH6+jN\n+QWChJCMEgPQyTsEyVpupMyCifg81EbmgEQkGnPsaXMJofwaQaAVZSSjUWGGzCvMvBPv9Ns9qqIo\nl3oyIYSkkY6tm+rpbxaZLwMApPEH4bERGjHLcqFhj8e5rycqS0WLeWchZA5QYYbMK8zGxt9hTGXx\nUJB6BAkhmaKNdwCS1QJI3QBk2EntYxYbPd834Dk5WqCT82kdIckWVJgh8wqzSRt+RANeangIIZmC\nCjMyb5LrsD3jj70OO42YZSFVVdnAwfN90X5WLUqyzDsPIXNEBdDOO0Q6yLTCrA/AxEGJYc8YNTyE\nkExBvYFkvk3MKvE5+ryqoiR4hiFzKx6KRBx72obFaEENLScjWca+Y8vmCO8Q6SDTCjMXgImGJjQy\nRIUZISRT0IgZmW8TI2aMqSwW9FMbmSUCztER1/7ehCwVVfLOQsg8oI7LpIwqzOxWSxzAxMHSY/au\nQY5xCCHkcimghofMv0nT/cNjI9RGZgH3OXu/76y3RCfnFfLOQsg8ofYxKaMKs6SJqRojXe1uVUnE\nL/VkQghJAy1bN9WHeIcgWa8XKdP9/a6BAY5ZyDVSVYU5LG39CZe4TBR10ux3EJKxaEZJUiYWZu9P\n1VAVFvV5XTzDEELIZbDyDkBywhCAic7KMXung2MWcg1igXDIsds2IiUKl/HOQsgCOMo7QLrIxMJs\n0pz54Ogw9QgSQtJdM+8AJPslp/tP7FY83N7qovM+M4/f4R4eOtQPWWcq552FkAXgBXCGd4h0kYmF\n2QUA+vEH/sF+6hEkhKQ7GjEjC2Vo/B01EVejfq+TZxhyZYZPdfX5WwOlOp0xn3cWQhbIezu2bFZ5\nh0gXmViYDQKIjT9wd5zv55iFEEJmEwDQwjsEyRmTpveHaFZJRlATitr/bqtDGZFrRFGi9WQklxzg\nHSCdZFxhZrdaVADD44/H7J2jSiwW5hiJEEIu5fjWTfXUG0gWShdSZpX4Bh00qyTNRX3BoGNPu0en\nmpbyzkIIBwd5B0gnGVeYJU3uERxz9/EKQgghs6D1ZWQh9SFlA5CRjjaaVZLGfHaXy/3eoCTLhaW8\nsxDCQQzURk6SqYXZIICJY++9jt5ujlkIIeRSqDeQLBi71aIgZZ3ZaE/HSCIaCXCMRGYwdKyjL9ge\nqZB0BiPvLIRwcmzHls0R3iHSSaYWZm0A5PEHQ+fPdnHMQgghM0kA2Mc7BMk5Q6kPgsOuHk45yDSU\nWCLR/07rgOo11AiimKmvwwiZC7S+bIpM/YMwBsA//sB9oXUoEY0EOeYhhJDpNG/dVO/jHYLkHCdS\nZpV4HPYeflFIqsiY3zew90JAB1M17yyEpAGaUTJFRhZmdquFAZg0bz447KLpjISQdLObdwCSk84i\nZVaJq/U0zSpJA96uQedI85BBlgtLeGchJA0wAId4h0g3GVmYJU3a8MPT100NDyEk3ezhHYDkHrvV\n4kHKQdOe3q6xWCg4xjFSznNa2/tCXbHFkk5v4J2FkDTRsmPLZvq7NEUmF2ankdIj6Gw5SYUZISSd\n+AEc4R2C5KxJ2+QHXAPURnKgRGPxvt0tTgTyagRBFGa/g5CcQR2X08jYwsxutYwBGB1/7HX0eqlH\nkBCSRixbN9UneIcgOasPKevMRrovdHLMkpPCIz7v4LtdIVksquKdhZA09BrvAOkoYwuzpEk9gr7B\nvgu8ghBCyBS0vozwdAqANP7AcfJIp6ooCsc8OWWs3TEwdtydr5MLinlnISQNDYE2/phWphdmdqT0\nCA61nWnjmIUQQlK9zjsAyV12qyWIlG3zYwF/LDgyRNMZ55mqqhg8bOuL9CpLREmWZ7+DkJz0+o4t\nm1XeIdJRphdmZwDoxh84TjbblVg0xDEPIYQAwPGtm+p7eIcgOa839cFop406L+dRPBKNOva0uYRw\nfo0gCLSejJCZvco7QLrK6MIs2SM4OP6YqQrzDTraOUYihBAA2MY7ACEAziNlk6y+44dtjKmMY56s\nFRryjLn29cRkqWgx7yyEpDkfgHd4h0hXGV2YJU06v2y4/Rz1CBJCeHuFdwBCALQDCI4/CI0Mh8Jj\nI72XeD65CiOtvQ7PqTGTTs438c5CSAZ4c8eWzTHeIdJVNhRmx5HaI3jscKeaiNN/cEIIL2e3bqqn\njYgId3arRQUwaV3ZaHcHdV7OEVVV2cCBtr74oLBUlHS62e8ghICmMV5SxhdmdqvFCcA9/liJRRW/\na5BeFBFCeKFpjCSdtGHSWuwj5zlmyRrxUCTs2H3eLcYKa3hnISSDRADs5B0inWV8YZY06XyW4Qut\nrbyCEEJyHhVmJJ20AJiYReJ19HrDnlHHJZ5PZhEYHHG79veqss5UwTsLIRlm144tm4OzPy13ZUth\ndgYp0xl7j1jalXg8wjEPISQ3tW3dVH+OdwhCxtmtlgSmrMV2X2g7zSlOxnOf7en3nfMv0sl5Bbyz\nEJKBaBrjLLKlMLMD8Iw/SEQjCU9/D704IoQstF/yDkDINNqR0t73HN57jg6bvjJqQlEdllZHYkha\nJoqSNPsdhJApIqDzPWeVFYWZ3WphmDKd0XHivVOc4hBCclMCwG94hyBkGqcATBzmGvaMhv2uARvH\nPBklFgiHHO/YxqSEaSnvLIRksFd2bNk8xjtEusuKwixp0u6MznMnHdGAb5hjHkJIbnlz66Z6F+8Q\nhExlt1qiADpSrznPnqDOy8vg7x8eGjrUL8g6UxnvLIRkuJ/wDpAJsqYws1stdgBDqdfcHeep4SGE\nLJSf8w5AyCWcRMrujL3NBzoS0UiAY560N3Sysy/QFizX6Yx5vLMQkuHO7tiy+RDvEJkgawqzpEnn\ns9gPv3uGqao605MJIWSODAJ4i3cIQi6hFYB//AFTFTbW03mGY560pSYUpX9vq0Md1dcIopRtr5MI\n4eGnvANkimz7g3MIKd9TYNgZCAw7Oy7xfEIImQu/2bqpnjZTIGkruRZ7Uudl79EDJznFSVsRbyDg\n2NPu1TFaT0bIHAkCeJZ3iEyRVYWZ3WoJAuhKvTZ45thxTnEIIbnjF7wDEHIZjiBlOuNIp80dHBnq\n4RcnvfjsTtfIEadOlgtLeWchJIu8sGPLZh/vEJkiqwqzpNNIaXh6Du9rjwUDoxzzEEKy256tm+rb\neYcgZDZ2q2UIwKTDpR0nrUc4xUkrrmMdfcH2aIWkMxh5ZyEky/yYd4BMko2F2Rlow6ZJDK7W09Tw\nEELmyw94ByDkCrQCEMYf2A/va4+Fgjm7hbUSSyT632kdYF5DjSCK2fiaiBCeju3YsvkE7xCZJOv+\nCNmtFgVT5tF37Nt5SonHI5wiEUKy1wUAb/IOQcgVeA/amXsAAMZUNtR2xsoxDzeRMb9vYG9HQAdT\nNe8shGQp2iL/CmVdYZa0DynfWzwUjI92tVPFTgiZaz/cuqme8Q5ByOWyWy0xAC2p1zotb59SE/EY\np0hceDoHBkeODhlkuaCEdxZCspQXwAu8Q2SarCzM7FaLB1pP9oROyx+stHU+IWQOjQL4Je8QhFyF\nfQCk8QdRvy862tORMzs0Oo+094W741WSpDfwzkJIFvvZji2bQ7xDZJqsLMySDiGl4fEN9vl8zv62\nSzyfEEKuxI+2bqoPzv40QtKL3WoZBTDpKJmuA3usjLGsHv1NRGKxvt0tTgTzagRBFGa/gxBylUIA\n/pV3iEyUtYWZ3Wrpgnbo6/vX3tv3Hqc4hJDsEgHwH7xDEHIN3kPKDsae3q4x32BfK8c88yrs9nqc\n+7ojslhUxTsLITngJzu2bHbxDpGJsrYwSzqKlFEz57mTjsDQIB04TQi5Vr/Yuql+iHcIQq7BBQDO\n1Aud775tycZRs1Fb/8DYiZECnZxfxDsLITkgDOD7vENkqmwvzI4D8Kde6Nq/+11OWQgh2SEC4J95\nhyDkWtitFgbgBFI6L90dbcPZNGqmqioGD53vi/ap1aIky7zzEJIjaLTsGmR1YWa3WlQAJ5FyZouz\n5eSAf2jwwsx3EULIJf1066b6Ad4hCJkDVkzpvEyOmnGKM3fi4WjUsadtSIgU1AgCLScjZIGEAfwL\n7xCZLKsLsyQLgEnbAHfv372PTxRCSIYLAfge7xCEzIXkuZ9WpLwW0EbN+jN61CzoGht1WXrislRU\nyTsLITmGRsuuUdYXZskzW45i6qiZa6CdXypCSIb6r62b6qnRIdnkIIBJu4t2vrtzX6aOmo202vu9\npz1FOjm/kHcWQnIMjZbNgawvzJLeBRBNvdC1f9c+PlEIIRkqAFrQTLJMctTsCDJ81ExVFTawv60/\nPiguEyWdbvY7CCFz7Kc0WnbtcqIws1stcQDNSBk1c7WeHvQ5Hef5pSKEZJgfbN1U7+YdgpB5cNGo\n2YXdr+9lqqpyynNF4sFI2LHb5hbjhct4ZyEkR9Fo2RzJicIsyYIpo2a2P2zfnSkNDyGEqxEAW3iH\nIGQ+TLfWbLSnY2Skq/0ov1SXJzAw4nYd6FVlnamCdxZCcthPdmzZ7Jz9aWQ2OVOYpYyaTXzPYz0d\no+5OWzO/VISQDPH3WzfVj/EOQcg8OoApo2Ztb75sUeKxCKc8s3Kf6en3tfgX6eS8At5ZCMlhwwD+\niXeIbJEzhVmSBdpw64S2N16yKLFoiFMeQkj6OwfgJ7xDEDKfkqNmh5ByrlnYMxoePHvCwi/V9NSE\nojr2tToSw9IyUZSk2e8ghMyjb+3Yspk6LudIThVmyVGz/UhpeCI+T8Rx+ug+bqEIIenuL7duqld4\nhyBkARwCMGkd5fmdrzbHgoERTnkuEvOHQo53bGOSYlrKOwshBEcA/JJ3iGySU4VZ0mFow64TbG9v\nPxb1+4Y45SGEpK/tWzfV7+UdgpCFYLdaGIA/IKXzUk3E1Z733t3NL9X7/H1DQ8OHBwRZZyrjnYWQ\nXMcYUwH8xY4tmzPzbI00lXOFWbLh2YmUhoepCus6sPsP/FIRQtINYywK4Ju8cxCykOxWy3kA3anX\neg7ttQXdQ90z3LIghk509gXOh8olnSGPZw5CiEYQhJ/u2LL5BO8c2SbnCjMAsFstFwB0pF7rO3qw\ny+902DhFIoSkGUEQ/m3rpvou3jkI4eBNpBwvAwBtO7e9xVR1waf0KvGE0r+3ZUAd09cIopSTr1kI\nSTeMMTeAv+WdIxvl8h+5HVMvnPv9C28qiXh0uicTQnIHY8wO4Lu8cxDCg91qcQE4k3pttKvd7Wo7\nfWAhc0S8Af/AOxd8OlZUvZBflxByaYIg0IYf8yRnCzO71TIK4CRSegX9ToffccK6h18qQkg6EATh\nz7Zuqg/wzkEIR28CmDRC1vL7Fw9GA77hGZ4/p7zdTufIEacsy4WLFuLrEUIuD2PMCuAXvHNkq5wt\nzJJ2Aph0Rsv5na8eC426eznlIYTw9+utm+p38Q5BCE92qyUC4F2krMdW4jHlwp43djA2v2v9XUcv\n9IU6o4slncE4r1+IcKHEQggOt0OJBWd/8iz3XepzJaJ+sIWffZvVGGOqIAi04cc8yunCzG61xAC8\njZSGB2BofeOl11VFod9mQnIMU9UhAN/gnYOQNHEIwEDqhYHTR/tGuy8cm48vpsTi8f49LYPMZ6wR\nBFGY/Q6SaZRYCI6jv0TE04e+936KiKcPjuZfoO/wjzDcetEKkxnvS0QD014b6z4E+4EfQk3EEBpu\nhyDSMXdzSRCE/96xZfNx3jmyWU4XZgBgt1pOAuhMvTbafWHE1Xp6P6dIhBBOBFH88tZN9TRvnhBM\n7GL86tTr57Y/tyceCfvn8muFR3zegb2dIZ1QtGQuPy9JL1H/ICrWP4Gy1Q+ioGIN+q0/Q+nqB1Fz\n558jHvYi5O68rPuiXsf013wDKF7egIinD4KkX+DvLrsl117/T945sl3OF2ZJr2LqXPrXXzwY9Xvp\nbDNCcgRjbNvWTfUXvQglJJclNwKxIuX1QtTvi3Yf3PPmXH0NT4djcPS4O0+WC4rn6nOS9JRfVoe8\nRbUIjXQh4umDJOfBWKydFa4zFEJNRC7rPuOi2mmvAQBTFYTc7SioNC/Y95XtklMYP7tjy2Yf7yzZ\njgozAHarxQdtLr1u/JqaiKttO1/dzlRV5ZeMELIQmKp6BEH4C945CElTuwBMGknuObTXNtrTcc1n\nGDnfa+8L9yhVkiTT8EaOYIzBP3AaopyHomW3YqR9DwKuVgSHbMgvX3VZ941PUZx6raBiNYJDbdAZ\nizFw9FcIuTtm/Hzkivy/HVs2W3iHyAVUmL3vEID+1AtDbWcGB8+deJdTHnIFlGgEY+3nEPWMzOm9\niUgYiXBoLiKSNCaI4ue3bqp38c5BSDqyWy0KgNcx5TXD6Zd/9XYsGLjyP7oAEpForG93iwuhvBpB\nEGg9WQ4RBAGLb/wwDEVLoC8sR0GlGd7eZhTV3ApRZ7is+4KulmmvmapvRtmaD0CU81BQuRb+wXML\n9W1lLaYq5wVBoDPLFggVZknJufTbAEzaaaZl+wuHQiPDdj6pyHSYosD6D1/B6f/8R5z+z39EcKAX\n57b+C3w97Tj3s39FcLDvkvcrsRia/+kvAQCqkrjoXvfZYzj2f/4HImMjGG07BZE6crMaU9X/3rqp\nfhvvHISkM7vV0gngLFKOmImHgvG2t7a9eqUzS0LDHo9zX09UFosWz3VOkt5GO96Fr1/bO0KNhyHq\n8mAoqkYi7MGilfdc0X3TXQOAeNANOb8MgqjDlJd05AoxxuKCKH18x5bNdMbvAqHCLIXdahkGcBAp\nuzQyprIzr/72NSUen37iM1lwgYFeVNTfiQ1f+TY2fOXbgCBg2f0fRO3DT6Gq8X54u22XvL9392uI\n+bVZOeGhwYvuHbOdxooPfgK+nnYwJQFRp7vk5yOZS00k2gVR/DrvHIRkiO0AJq0xcbWeGriSmSWj\n5/sGPCdHC3RyvmnO05G0V7y8Eb7+E+g7/GMwxpBfsQajnRYsWnkPxORmHVG/C+7zb89633TXlHgE\nksEEg6kS3l7rJadGksvyP3ds2XyKd4hcIsz3eSSZpraxSQDwRQBVqddX3vvwulX3P/YxPqlIqoGD\nuzBwcBckgxH5S2qw5unPQ5AkBPq70fX6c1j9zJ8hr6xy2ntDLge6Xn8eSjSsFXVJqfc69r2J4rp1\n8Ha2YdkDH4JxUdlCfWtkATFVjQmiuHHrpnqa60LIZaptbKoF8DmkDEUIgijc9Rff+mx+WUXtTPep\nqsqch9v7hUh+Dc1cJCT9qaqySxSlR+nMsoVFI2ZTJKc0vgAgkXq9a/+utpF5OruFXBnT8jrc+OW/\nxS3f+A6YomC07SQAYKTlBBhjuNSZpF2vP4e6pz570fXUe8tvvh2O/W/DWLYYXb9/FkPHD83b90K4\n+gYVZYRcGbvVYoc2s2Ti9QNjKjuz7dlXZ5pZEg9FI449bcNitICKMkIygKoqblGUPkVF2cKjwmwa\ndqvFC2AnJh08DZz+3S/+EPF7aYMAzgqql8NQvAgAYKpZifCwEwBQ+8hHULnxbjit+6a9z3V0P4rr\n1k07mpZ6b0ndOqz99FdhKClDXtlijF2g1+7ZRonH3/jZE7f+iHcOQjLUHkw5eNo32OfrtLy9feos\nnIBzdNS1356QpaLppzEQQtIKY4yJovTMji2bh3lnyUVUmM3AbrUcB3AOKQudE9FI4szLv/6dEo/R\nejOOzv/2vxBw2MFUFe6zR6EvKYN9l3b8lBIOQsrLn/a+0fOnMXLuOE7/5z8i4LDj3NbvY+jke9Pe\n6+1sRfFKMyCJEEA9vNlEScQdkix/hncOQjLVTDNLeg7ttQ3bzh0cf+xusff7znqLdHJe4UJnJIRc\nHcbU7+7Ysnkv7xy5igqzS3sVgDf1gqeve+zCnjdeYUyl4V1Oah/5CGzP/ReO/99voei6NSi/8TYE\nHXac+o9/gL+vC1W33Yt4MID2F/970n3rPv1V3Py1/40NX/k2CpfW4oYv/PW09zJVhaQ3QDYVw9fd\njoIlNZy+UzLXVEWJSDr50a2b6sdmfzYhZCYzzix5+dd7/UODnQ5LW3/CKS4TafckQjKGEo/+QRSl\n/8U7Ry6jzT9mUdvYtBTA54HJwyY3PPmJu6o33PYQn1SEkCvFGGNqPP7ML568/WXeWQjJFrWNTR8D\ncAOAiS3zBZZXs7bhs0/LBtp5kZBMkYhHOnSy8eYdWzYHeWfJZTRiNgu71eLANL2C57Y/f8jr6G3h\nk4oQcqViQf8PqCgjZM5tAzAMAIwxIR6M10RGRj09J998TlWVOOdshJDLoCTiXlHUPUBFGX9UmF0G\nu9XSDOAEpvy8Tjz3099HfLQZCCHpLhb0WwyFRX/FOwch2cZutSgAfqsqqpTwx2rVcMIJwO9xtrsG\nbQcv2gyEEJJemKom1ET0iTf//SN9vLMQKsyuxO8xZReqeDgUP/3yL19UYrEwp0yEkFkkIuFefYHp\ng1s31dMrRELmgd1qGUv4Y9vVmNoLYGKUbMB2sHVs0LafYzRCyCxiYd9fvP1fnzw4+zPJQqDC7DLZ\nrRYVwG8ATCrCvP12T9tbr7ygKkpi+jsJIbwo8XhAlOUHt26q9/POQkg2G7RZjwN4F1Om/Xc2b3s3\n6HGe55OKEHIp0ZDnx7t+8tn/nv2ZZKFQYXYF7FZLCMDzACb1vA+cPtrXue/tbYzmbBCSNlRFiSWi\nkcd+/sGGDt5ZCMkR+wC0YsprC9vB326LBEbtXBIRQqYVC/v3GfJL/oJ3DjIZFWZXyG619AF4C1N+\ndt0H95zvO3ZoJ59UhJBUTFXVoNv1J7/5WBNNzyBkgTg7mxmAl5DcDGSckogmzh989oVY2DfIJxkh\nJFUiFu7S55ke37FlMw0opBkqzK6C3Wo5CuA9TJmycf6tbUddbWcO8ElFCBnnddj/14t/8sTzvHMQ\nkmucnc0KgF8DiKZej0cCUduh534bjwZH+CQjhACAkoiOQhDu27Flc4h3FnIxKsyu3tsAzmHKz/D0\nS7/cO9bbfZpPJEKI19H745e/+JHv8s5BSK5ydjb7oK3JnrT2OhIYDV1473fPJuIRH59khOQ2JR71\nxSPBe3b+8BnagTFNUWF2lexWCwPwMoBeTDl8+vhvfvR6YMhJ61oIWWB+18D2l77w5J/zzkFIoaj5\newAAHExJREFUrnN2NjswzZrsoGfQ23n01WeVRIx66wlZQEoiFvCP9D6y+6d/0so7C5kZFWbXILlT\n468BTJqaoSoJtfmXP/xd0D3UzScZIbkn6HYdGGo78xTvHIQQjbOzuQtaB+ak4sw31O3uPvnGc6qS\niPFJRkhuURKxkLv39DMHnvsfR3hnIZdGhdk1slstcQA/BzDptPREJJxo/sUPXgiODPdwCUZIDvG7\nBt6LBvz37/3+39BCZkLSiLOzuRXADkyZWTLmaBvoPbv7RaaqCp9khOQGJREPu+2nPt382nfe4p2F\nzI4Kszlgt1qCAH4JYFLvXzwcijf//N+fD40M0zbBhMwTn9NxtGv/rqZtf/4xeoFHSBpydjafALAL\nU15zDPec6Hact7xCR80QMj9UJRF120/9afP2f36VdxZyeagwmyN2q8UNbbFzPPV6PByKW3/xg+dC\no+5ePskIyV7egb7jbW++fG/zL38Yn/3ZhBBenJ3NhwDsx5TdjAfbD58fbD/0GmOqyicZIdlJVRKx\nYfupLzZv/84LvLOQyydQR9Xcqm1sqgHwGQBy6nV9QaG+4XN/+cn80vLlfJIRkl28A73Hzm1//r7W\nN14Kzv5sQkg6qKpr+BCAWwFMKsSqVt2+Zun6+54WRUnHJxkh2UNVlbjbfurL1lf/8ee8s5ArQyNm\ncyx5APVF2wTHgoFY8y9+8FxolKY1EnKtqCgjJGPtANCCKSNnzo4j7fZTO59VlUR0+tsIIZdDVZWE\n237661SUZSYaMZsntY1NtQA+DWBS75/OYNTd9sdf+aipaqmZTzJCMttYb9fh1jdeepiKMkIyU1Vd\ngwjgEwDWYMrIWcmSNVUrN37oU5LOUMAlHCEZTEnEQsPdJ/7q6Ovf+ynvLOTqUGE2j2YqzgRREm79\nzJc/uKi27hY+yQjJTMO2ll0nX/zZk3arJcw7CyHk6lXVNQgAPgJgA4BJG/eYypaXrmr86Kd1+rwS\nLuEIyUDxaGjM0Wb5ytl3fvI87yzk6lFhNs9qG5uug1acSVM/tuFjf/LA4nU33bPgoQjJMIwxNnD6\n6Gstv3/hU1SUEZIdksXZJgC3Y0pxlldUaVpz58c/pTcWVnIJR0gGiYY8ju4Tb3z1gvXl13hnIdeG\nCrMFUNvYVA1tQxDj1I+te/zphmUb73hMEISLbySEQFWUhP29fb+58M4bX6GijJDsU1XXcB+ABzBl\nWqM+r9i49u5PfdJQULKMSzBCMkDI67J1NG/7mv3MH3bxzkKuHRVmC6S2sWkRgM8BME39WN19j16/\n8p4PfFgQxYtG1QjJZUo8Fr7wzpv/2Wvd/7fJw9wJIVmoqq6hAcDjACa9KNHp8+W1d3/qmbyiijo+\nyQhJX76h7qMdzdu+6LAdOMk7C5kbVJgtoNrGpnwAfwqgHFMan+oNt9Ws3fSRZ3R6WvBMCADEgoHR\ntp3b/o+r5dS/2a0WOjyakCxXVddwE4APA5g0hUSUdOKaOz7+hKl8Oa3LJgQAYwyj/S1/6Dr++y87\nO5u7eechc4cKswVW29gkA/hjADWYMm2jaElN0c3PfO6PjMUlS3hkIyRdBIacnWe2/ebbgaHBF+xW\nC/2RIiRHVNU1rAHwMUzZNAsAlt/48MbKFRsfo9klJJcxVVWcndbf9bfs/bqzs3mYdx4yt6gw46C2\nsUkE8HEAazFlwbPOmKfb+Kkvbi5eWnsDl3CEcDZkO3f4zMu//tvuw+/s452FELLwquoaaqBtmqWf\n+rHSZdcvrd3w6DM62XjRsgBCsp2SiIcdbfu2ujqb/8bZ2UxHxmQhKsw4qW1sEgA8CuBOTCnOAOCG\nD3/y7iU3bnxAoF1BSI5QlUS859De7R3v7vyu3Wo5xTsPIYSfqrqGSmibZhVO/ZjRVF6wuvHpp42F\npbULn4wQPqJBT3/3yTf+3e+2/8DZ2ZzgnYfMDyrMOKttbKoH8AQAcerHrrvz/jV19z/2lKSTDQuf\njJCFEw+HvK1vvPQrV+vpLXarpY93HkIIf1V1DQYAnwSwAlM6MAVRElc3Pv1w8eK6Ri7hCFkgjDF4\nnRfe6zy2/d9UJb7N2dlML9yzGBVmaaC2sWkZtMYnb+rHFtXWld744U9+1Fi8iNadkawUGHZ1nXn5\nVz8KDDt/bLdaQrzzEELSR/Kss0egzS5Rp3586br7bqxaffsHRVGSFzwcIfNMScTDA+ctv3d2WH/m\n7Gx+h3ceMv+oMEsTtY1NBdCmbSzBlMZHkvXSTU//8UPlq9beTjMbSbZgqqoOnDm2t+X1F38Mxrbb\nrZaLXnQRQggAVNU13ADgSUyzKUhJ1ZrFK+off0anz1+08MkImR/RoKe/89hrLwTHBn7l7Gxu5Z2H\nLAwqzNJIclOQpwBswDTrzmpvv2913f2PPqnTG/IXPBwhcygWCoy2vbltm6v11C/sVssR3nkIIemv\nqq6hHMCnACzClCNn9HnFxtW3P/1kfvFiM5dwhMwRxhi8ro4jnUdf+62qxJ91djb7eGciC4cKszRU\n29h0O4CHMc26s8LF1aYNT3/2qYKyyusWPBghc8DT13361Eu/fDUW8D9rt1ro/BVCyGWrqmuQATwD\nwIxpOjCXrX9gw+K6Wx8VJdm44OEIuUba1MX9v3d2HPktgJ3OzmaaSZJjqDBLU7WNTYsB/BGAMkyZ\n2igIonDDhz9xd9X1t9wniOJFxRsh6UhJxKP2w+++1fHuztcBvGi3WiK8MxFCMk9y3dl9ybeLXsTk\nFy82rdj4oQ/mF1WuXuBohFy1aHCsr/PY9hdp6mJuo8IsjdU2NknQ5tTfjGl6BivWXL943aaPbKaN\nQUi6C7pdXS2vv/i6p69nG4BDdGg0IeRaVdU1rAbwUQDT7lxcc8NDt1Su2PiIKOloZ2OStlQlEXP3\nnt5rP7PrDTCVpi7mOCrMMkBtY9MGaFvqX7TrlCBKwvWb/+iuqutvaRIl6aJF0YTwpMRjkb6jh3a1\n7359L4CX7FbLIO9MhJDsUVXXYATwEQBrMU0HZn7JkqKVGz/0oTxTed2ChyNkFiGvq737xI6dIa9r\nD4C3aOoiocIsQ9Q2NhUD+DiApZim8Sldsbps/Qef2Zy/qKxmwcMRMg3fYF/b2deefzs47DwE4Pd2\nq4UOxCSEzIuquoabAWwCoJ/u48tvfHhjxXW3PCxKumk/TshCUuLRgLPDunPAduA0gO3OzuYW3plI\neqDCLIPUNjYJAJoA3ItpNgYRBFFY9/hHG6o33PagqNPRmS6Ei0Q0Eug++M5b3Qf3nATwht1qOcc7\nEyEk+1XVNeQBeBrAakzTgVmwqLp4Zf2HNhtNZSsWPBwh0HZc9I/0nug+/vo7sbDvNIBXnZ3NYd65\nSPqgwiwD1TY2lUKbV1+DaRqfourlxeufePqRoiXL1i14OJKzGGNsrKfjxLntz78T8XlOANhut1qi\nvHMRQnJLVV3DRgCPYZozzwBg2fr7b6pYUf+gTjYWLWwyksvi0eBIf+u+N9z2U60A3qRRMjIdKswy\nVHL07C4A9wOQpntOzW13r1x578OPGQpN5QsajuSc4MhQT/uu198ebm/phDZt8QLvTISQ3FVV11AA\nbfRsFYCLplFL+jy59qZH71xUbb5LFCWaYULmDWOq6hm8cKj7xI4DSiJ6DMAbzs7mOO9cJD1RYZbh\nkmvPPgrgOkwzeibqZHHtY081LLlxY5Mk07kuZG7FQ0FPzxHLru4Du20AjgN4k9aSEULSRVVdw20A\nHsEMo2d5RZWm2g2PPlhYumyDIAgLG45kNcYYQh5na1/LO/v8brsN2lqyXt65SHqjwiwLJEfPbgXw\nEAAjpjvXpbQ8f93jT99fumLVRkEQqfUh10RNJGLO1lMH2t58pVmJRZ3Qpi1Sg0MISTtVdQ2FAD4I\nYD2m6cAEgEXVa5csW3//I8bC0toFDUeyUtjv7nKc3//OmKPNAeAQgL204yK5HFSYZZHaxiY9tHn1\n9ZimOAOA0pVrylc/+Ph9RUtqrqfeQXKlmKqqY71dp87vfHVfYGhwBIAFwGE6l4wQku6q6hqWQ9u5\ncdrdjQFgyZq71i2ua/iAbMhftKDhSFaIhXyDgxcO7xnqPm4H0AvgNWdns5t3LpI5qDDLQrWNTYuh\nnXt2HWZofCrWXL941f2P3W+qWmpeyGwkMzFVVT19PWfa39lh8fb1eAGcALDTbrXEeGcjhJDLVVXX\nIADYAG2GSRGAi0YxREmWam96pLF02fp7RImWAJDZxaPBkaGu43sHbAdsADzQOi2POzub6UU2uSJU\nmGWx2sam9QAeBlCGGQq0qutvqV5578P3F1ZWrVrQcCQjMKYyb7/97IV33rSM2Tu9ADqhbYFPPYCE\nkIxVVdcgAbgPwB2YYf2ZbCjQL7v+gVsXLTHfIcmGwoXMRzKDEo/63b1nLH0t75xkqhIGcBDAIZq2\nSK4WFWZZrraxSQRwJ7QdHAswTe8gAFRvuK1mxd0P3V9QXknnuxAwxpjX0Xuu4503LKM9HR4AwwB2\n2a2W87yzEULIXEmeffYEgBsxQ/so6vTS0rVNG8pqrr9TNhSULWhAkpaUeNQ/Nmiz9p7dbVXikSiA\nZmjryGi3RXJNqDDLEbWNTRK0g6lvB5CHGRqgyrU3Vl135wN3FC9dfoMgihcdYk2ym6ok4mP2rlPd\nB3ZbR3s6vNAKsv0ATtE6MkJItqqqa6gC8DgusQQAgiBUr7lrXXntzXcZ8ourFzAeSRPRkHdgpO/c\nkcH2gy2qklABnALwtrOzOcI7G8kOVJjlmNrGJhna2We3AdBjhk1CTEuWFdU1PdJQttJ8qyTLhoXM\nSBZePBL2D7e3NHe+u/N42DMaAzAC4ACAE1SQEUJyRVVdwyponZgrMc35Z+MqV2xcWbnytrvzTGU0\nyyTLMcZYyOtsc3UeOzLSd6YPgAigBVpB5uUcj2QZKsxyVHIHxwcBbAQgY4YCTV9QqF91/6ZbFq/f\ncLucl1+ykBnJ/It4xwYHzhx/r2v/rhY1ERcAjEEryI5RQUYIyVVVdQ1LoXVirsEMM0wAbZv9Javv\nvDu/ZPFaQaBZJtlEVeIR33DPiYHzB5qDnkEvAAnABQC7nJ3NTs7xSJaiwizHJQu0e6BtsV+EGaZw\nCIIoLG+8p27JTRvrTYuXmmmaY+ZSlUTcN9DX1n/CenzglLUX2sL3QQBHoRVktGiZEEIAVNU1lAJ4\nAMANl3penqmisGpV403Fi+tulo2FFQuTjsyHeDQ4MjZw3upo238qEQsloI2ctgCwODubRzjHI1mO\nCjMCYGKTkHoAjQCW4BJTOPLLKvJX3PXghvLV6+sNhabyhcpIrk14bKR/yHbuZM/hvS1Rvy8KrSDr\nAHDQbrV0cI5HCCFpq6quIR/aLJMNuMQsEwAoXbq+urz25ptNZctupO32M4OqKomQ13V+tL/ltKuz\nuQNa+zgGbQ3ZAWdnMx0NQxYEFWbkIrWNTasA3A2gDjMtgk5actOty5bV315fvHT59aJO1i9IQHLZ\nEtFIYKyn84y9ef/J0a52NwAB2rSccwD22a0W6v0jhJDLVFXXoIe2Bm0jABMu0Ykp6vRS1arGtaXV\n6242msrrBEEQFionmR1jjEUDoz1jzgtnXB1HWuPRYAxaQdYHwArgNJ1DRhYaFWZkRrWNTWXQttlf\nB6AQlyjSdAajrubWu+oqzDesN1UtNdOGIfwo8VjYN9B33tV2prX/2OGu5M5ROgBuaAXZAbvVEuWb\nkhBCMlfyHLSboI2grYQ2gjbjC6q8okpT1arbbypevPIW2nKfr2jI6/j/27u32LiOOo7jv92zV9u7\ntuP47sRJnGTSpoW20KSUS3jhKqQKVUJIRUJ9QFCeEM8IUQkhxCuCShUvVQWtUCVULqIFFZSC1Do0\nLWlo0kllO27seJ049nrXXq/Xe+FhjhsTHMcB28frfD/KajfnHG/mKePfzH9m8lcvnpscOf2vQnYi\n518OSzov6e+ZoVOXAmwe7nAEM9ySX+Z4r6T7tY5ZNC8a8/o++vCBjiP33p3u7jviRWOUcmyy8mJx\nLjdxyV45f/b82OnXRvwwFpa0JOmC3BkrF9nQAwA2ll/m+LDcIGan1phFk6TmzoMdbX1HTVPbHhNL\npnuZSNt8y2HsysW3zs3PjGf9y1G5HYjflfRqZujUXHAtBByCGW5L//ETjXKbhdwlabfcL/43FY5E\nw30f+dj+3QePHEp19Q2wJm1j1Go1LeZnM7mJsaHJc2fenXj79NiKwdrlUoy35Tbz4MBLANgCXQPH\n9kg6JsnInRm65kBmMtXetLv/vsPp9v7Diaa2/WEvwpKADVAplwrF/NRI/trY8PT4O0PzM5eXt7WP\nSCrIDVi+KWmEckVsJwQz/E/6j58ISeqXdJ/cLNou3SKkSe58tO57HjjQuvfAQGNH14FILN6wyU3d\nMZYWCtn85OXhmdGh4Ym33xgpTE8VVtyOSspIGpL02ujgyZlgWgkA8Esd75crd9ynW5Q6SlLYi3pt\ne+7Z09w5MNDY0n0wmkh1MZu2PtVKuVScnx6dn7k8kp24MJzNvDe54rYnqSTpoqSzks5mhk6tGZiB\noBDM8H/zQ1qfXEg7JKlN6whpUkgdd93b3X746P5UZ09fsrWtL5pIpja1sXVkaaGQLUxPjc+OjY5k\nzv1zOPv+8I1hKyq3zf2wpH+MDp68uvWtBACspWvgWKOkB+XWou2VCwq3DAaJprbGXX1372ts6e5N\nNLX1xJLpbmbUnFqtWl0szI4VshPDs5NDI9Pj58b8Ev5lntzvISOSzslt5LFmiSmwHRDMsOH6j5/o\nldt6f6/c1vtVrXFA50qprt5U++Gjfc09e/sa2zt6E82tPWEvEt3E5m4LlVJpYSE7PT43lRmfHRsd\nv3rhnfHCtauFGx6LyK1dGJcLY2+MDp6c/a8vAwBsS10Dx6Jys2iHJO2X21hrfeXmoVCouWOgPb27\nv6ehpbM30djWG002de70g61r1Uq5VJy7UirMTi7MTU3Oz0xkspn3JspuF8VlIbnByim5Uv5hEcZQ\nhwhm2FT9x08k5Dqh/ZL2yJU8rvs8kLAXCe86cGh3umfv7qb2zvZkS1t7It3cHm1oagt7nrdJzd40\n1XK5VJrPXyvmZ6cWZqan5qcmp6ZH3pvIXhpZrfQw7L8m5TqaIUnvsmYMAOpf18CxkFy/eFRuILNH\n7v/8dZfZhSMxr6XzYFdq996eZLqjN5ZItUXiyVYvEm/cnFZvrvJSMVdayE0uzs1MFnJXMnPXLk3m\np0av1WrV1X5ZjUnKyfWPl+SCGIOVqGsEM2yp/uMndsttL9wrqUtSi9ws0Lpm1JaFwl6oZc++1ua+\n/vbGto5d8VRzc6wp1RxLNjZHEom0F4s3BHFmTLVSKZcXi/lycSG/tFDIlwrz+WJ2enruauZaduzi\nVH5iLLfGj3tyo34zksbk18OPDp68ceYMALDD+GekHZUbyOyQ1C6pQdJtH2/iRRORxtbulmSqozXR\n1NoSS6Zbo4lUSzTe0BqJJVuCOPi6Vq1WKuXFucpSMVdeKubLi4X80uJ8fqk4ly/OT8/mro5eKRWy\nC2t8RVRSUa5/vCTpHUkZNu/ATkIwQ6D6j59Iye3w2CMX1DolxXUbs2qrCXuRcGN7Z2PDrvZUIt3c\nEEkk45F4Ih6JJ+JePB6PxOIJLxqPe7FoPBT2PCkUkh/jQst/3F9CtWq1UllaWqyWS6VKaalUWVpc\nrJRKpXJpsVRZLC6W5ucWCtNTubmrmXxxdqa4ziYul13k5WbEJuU6mwujgyfX6pgAAHeAroFjYbl+\n8ZBcUOuS2w05ovWWP95ELJlOJNMd6UisIR6JJeJeJB7zovG4F4nFwpFYPOxFY14kGg970VjYi8bD\n4UhMobBXq1UrtVqlXKtWK7VatVyrViq1WrVSq1bc56q77zLYQqG0MJtbnM/mi3NT+eLc9O0MMsbl\nAuk1ufLEa3LlicOZoVO3NZAL1BOCGbYV/8y0bl3f6XH5lZYLMvV2MHJIrtyiJDcTNiMpKxfEzkvK\ncbYYAGA9ugaOReTKHvfLDWR2SmqWCzIV3eIMtW3I8185uQB2VS6EDUmaJIThTkMwQ13oP34iKtcB\n7ZPUKlcC2SQp5b9H5bYiXtIttiTeYJ7/b5flQuO8/8rJhbApuV2hZkYHT9LBAAA2lL9WLSU3qNkh\nF9RScgOaaf9zTK5/3Mpt4sNy/WNVbnByuX+c89/z8o95yQyd2jEl+8aYFkkN1trLQbcF9Ydghrrn\nz7I1yW3T3+5/TsiNIMZWeUXlApX0Qc2iVq5HC8kFrSX/VVrxXvLvLch1LFm5jiU3Oniy3mbzAAA7\nnH+mWlruWJtdcn1gVNf7w+X3+CrXlzcjWX5VdX1d+GrXi7oevGbl+sdZScWdthbMGNMttyZw0Fqb\nX3H9SUkd1tonAmsc6hbBDAAAAPAZYzolvWCt/eRN7h+W9AtJr0h6RNJD1tqSMcZIel3Sm3IDuN1y\n541GJGWttV/divajfkWCbgAAAACwHRhjWiU9I2mtIwc+JOlxa+2QMeZeSfuNMROSfi3pCWvt8/53\nvW6t/dKmNxo7BjNmAAAAgCRjTFpuScOL1tpPr/FcRNLnJH1X0mcl3SPpM5Lul1vnJ0kfl/Sa3ETI\n09baFzav5dgJmDEDAAAAJFlrc5LkqhIlY8yLuh60JOlX1tqn5dazf0XSqKSatfaMpDPGmFettZ/y\nf/Z1a+0Xt7L9qG8EMwAAAGAV1tpHbnI9K+nrxphnJT1ojDkttwnKqqVoxpiw/3Ps0IybIpgBAAAA\n62SMeUrSc9baV+WO78lK+p6khyTljTG/v/7oB589SU9J+u1Wtxf1g2CGumOMSUgqMeoEAAAC8BNJ\nzxpjapL+ZK21kn5w40PGmEE2/8DtIJhhWzHGfE3SjLX2D2s89mO5Eae/bE2rAADAnWStjT+stSOS\nPrGOr2nasAbhjkAww3azV65G+z/4ge0bcrXbH5b0gDHm+3KlAT9b3poWAABgO7DWHg26DagvBDME\nyhjjSYpbawv+JU9S3r8XltQgqSjpOUm/lNQp6Slr7ZdXPBPa6nYDAAAAG4lzzBAoY8yAXOAq+5f2\nS5qXdMX/e1zS7yR9XlJJLphFJI2v+JqYpCettS9vRZsBAACAjUYww7ZijHlF0vvW2sdXuReW9DdJ\nj1prM1veOAAAAGCTUMqIbcMYc7fcbNkuY4zxdzlaKSUpKul5/+DHNkmHJR3xF+ICAAAAdYkZM2wL\nxpi4pJckfUduTdnTkr6wYu3Z8nMDkkbkAtofJf3QWsvujAAAAKhr4aAbABhjjkh6WdIz1toz/kzZ\nzyX92Rhz6IbHH5P0lqS/SvoNoQwAAAA7ATNmCJQx5jFJP5L0TWvtSzfce0TSTyV90lo7uuJ6QtKj\nkr4l6dvW2rNb2GQAAABgwxHMEChjTFRS0lqbu8n9Rmvt/BY3CwAAANhSBDMAAAAACBhrzAAAAAAg\nYAQzAAAAAAgYwQwAAAAAAkYwAwAAAICAEcwAAAAAIGAEMwAAAAAIGMEMAAAAAAJGMAMAAACAgBHM\nAAAAACBgBDMAAAAACBjBDAAAAAACRjADAAAAgIARzAAAAAAgYAQzAAAAAAgYwQwAAAAAAkYwAwAA\nAICAEcwAAAAAIGAEMwAAAAAIGMEMAAAAAAJGMAMAAACAgBHMAAAAACBgBDMAAAAACBjBDAAAAAAC\nRjADAAAAgID9GxWGAoaOntvSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eduLevel = data['eduLevel'].value_counts().sort_values(ascending=True)\n",
    "workingExp = data['workingExp'].value_counts().sort_values(ascending=True)\n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15, 7))\n",
    "axes[0].axis('equal')  # 保证长宽相等\n",
    "axes[0].pie(eduLevel, labels=eduLevel.index, explode=[0, 0, 0, 0.05,\n",
    "                                                      0.08, 0], autopct='%.2f%%', pctdistance=0.6, shadow=True)\n",
    "axes[0].set_title('图5-6 学历要求饼图', fontsize=15)\n",
    "\n",
    "axes[1].axis('equal')\n",
    "axes[1].pie(workingExp, labels=workingExp.index, explode=[\n",
    "            0, 0.05, 0.05, 0, 0.05, 0, 0], autopct='%.2f%%', pctdistance=0.6, shadow=True)\n",
    "axes[1].set_title('图5-7 工作经验要求饼图', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图5-6 可以看到，公司对求职者的学历要求更多的是大专，占比 53.43%，本科学历占其次，占比35.71%，而更低水平的中专、中技学历的求职者很难找到心仪的数据分析工作；  \n",
    "由图5-7 可以看到，公司对求职者的工作经验一般都会要求 1-3年，占比 39.33%，因为公司培养没有实践经验的求职者是需要花费一定的时间与精力的（培养后的求职者可能还会跳槽……），出于这类求职者已经有了一定的工作经验，自然也就更受公司青睐。工作经验在 3-5年的数据分析师往往已经是行业老手也是比较抢手的，占比 26.38%。而在数据分析岗浸淫了10年以上的求职者本身就是凤毛麟角，故相对而言公司对这类求职者的需求也是最低的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**薪水与要求之间的关系**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:07:25.625956Z",
     "start_time": "2019-01-22T15:07:24.625273Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 45)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SpwmdXgPV6ecvqT4iYiHwHODbKaVHGh2PJKn1mMRpQqfXQHX6+UuqvYgYAG4H\nPgdcFREvBr4F/LBY5eyU0gONik+S1BpM4qSCk31LqoNnAeellO4uErrXAzellN7a4LgkSS3EJE4q\nONm3pFpLKX0VICJeCBwFfBo4KSJeBDwAvCmltK2BIUqSWoBJnMSOyb5LyyZykmolIrqAVwHDwLeB\nl6aUfhERNwAnArftafuBgfnMmdNT+0AlSTvp7u4CYNGifRsciUmcBOw62bdJnKRaSSmNA2dFxKXA\nE1NKXy9e+iZwyHTbDw9vqmV4kqTdGBsbB2Ddug11Od6ekkXniZMkqU4i4q0RcWbx8ADggxFxeET0\nAEuB7zYuOklSqzCJk3Cyb0l182HgtRHxNaAHeCHwCeA7wF0ppS81MjhJUmuwOaWEk31Lqo+U0jBw\n/KSnn9WIWCRJrcskTipYAydJkqRWYBInFayBkyRJUiuwT5wkSZIktRCTOEmSJElqISZxkiRJktRC\nTOIkSZIkqYWYxEmSJKlpDQ4+xODgQ40Oo+ra9bxUHyZxkiRJalqrV69i9epVjQ6j6tr1vFQfJnFS\nYeXKc1i58pxGhyFJkgqDgw+xdu3DrF37cFvVWrXreal+nCdOKqxf/0ijQ5AkSWXKa6pWr17FhRde\n0sBoqqddz6tZXHrp2xkaGqr6foeG1gNw7rlvrvq+Fy5cyEUXXVbx+jVJ4iJif+BmoAcYAV4FXAcc\nCnwupVR5hFIdlNfArVx5DldccU0Do5EkSdLeGhoaYmj9egZ6B6q633ld8wAY3zhW1f0Ojw7PeJta\n1cSdAVyVUvpiRFwHnA70pJSOjYiPRsQhKaXv1+jY0oyV18JZIydJUnNYtmw5l19+8cRyu2jX82om\nA70DXPm8yxsdRkXe8h8XzHibmiRxKaUPlD1cBLwGeF/x+A7g+cBuk7iBgfnMmdNTi9Cm1dOTuwku\nWrRvQ46v5uD7L0lS4y1ZchiLFx86sdwu2vW8VD817RMXEccCA8CPgZ8VTw8BR+xpu+HhTbUMa4+2\nb8/Vo+vWbWhYDKq/Aw88aKIG7sADD/L9l+rImyaS9qRda6ra9bxUHzUbnTIiFgL/ALwe2Aj0FS8t\nqOVxpb1R3gfO/nCSJDWPJUsOa8vaqnY9L9VHTZKpiJgH3AK8LaX0E+Bb5CaUAIeTa+akpnLggQdx\n4IEHNToMSZIkaY9q1ZzyDeQmkxdGxIXAx4DXRsQTgZcDx9TouNJeswZOkiRJraBWA5tcR55SYEJE\n3AYcD7wnpfRoLY4rSZIkSe2ubpN9p5SGgVXTrihJkiRJ2i0HGJEkSZKkFmISJ0mSJEktpG7NKaV6\nWrXqRu67754ZbTMyMgJAf3/obyeUAAAgAElEQVR/xdsceeTRLF9+xoyOI0mtYM2a2wE44YSTGhyJ\nKuV7JnUOkzip8Pjjo8DMkjhJmqliHtXnAN9OKT3S6Hh2Z/XqWwATglbieyZ1DpM4taXly8+YcQ3Z\nypXnAE41IKl2ImIAuB34HHBVRLwYeDdwKPC5lNJljYyvZM2a29m8edPEsklB8/M9kzqLSZwkSfXz\nLOC8lNLdRUL3YqAnpXRsRHw0Ig5JKX2/wTFO1OiUlk0Imp/vWXO46aYbuPfeuytad2RkIwD9/Qsq\nWv+oo45hxYoz9zq2TjIyspHRLaO85T8uaHQoFRneMkxvV++MtjGJkySpTlJKXwWIiBcCRwEL2TH9\nzh3A84E9JnEDA/OZM6enlmHS3d210/KiRfvW9HiaPd+z5tDXN2+n92JPRkdzN459963sverrm+f7\nWqGursreg2bS1TWz761JnCRJdRQRXcCrgGFgHPhZ8dIQcMR02w8Pb6pdcIWlS1/JjTd+fGJ53boN\nNT+mZsf3rDksXXo6S5eeXtG65577ZgCuvPL9Fe/f97Uy8+f30zfWx5XPu7zRoVTkLf9xAV3zu3d5\nf/eU1DnFgCRJdZRSGk8pnQV8D/jfQF/x0gKapFw+4YST6OubT1/ffJvltQjfM6mzWBMnSVKdRMRb\ngV+klG4ADiAPavJ84G7gcCA1MLydLFt2WqND0Az5nkmdwyROkqT6+TCwKiL+BHgQ+CzwtYh4IvBy\n4JhGBlfO2pzW43smdQ6TOEmS6iSlNAwcX/5cRBxXPPeelNKjjYhLktRaTOIkSWqgIrFbNe2KkiQV\nmqIDtaTGuuaa93LNNe9tdBgNs3btw6xd+3Cjw5AkSaqINXGS+M537m90CA11662fAWDx4kMbHIkk\nSdL0rImTOlx5DVwn1satXfswKQ2S0qC1cZIkqSWYxEkdrrwWrhNr5Eq1cJOXJUmSmpVJnCRJkiS1\nEJM4qcM9+9lHTLncKU455dQplyVJkpqVSZzU4c4556+mXO4UixcfSsQSIpY4sIkkSWoJjk4pqSNr\n4MpZAydJklqJSZykjqyBK2cNnCRJaiU2p5QkSZKkFlJREhcRXbUORJKkVmQZKUmqt0pr4tZGxN9E\nxBNrGo0kSa3HMlKSVFeVJnHPBX4O3BwR/xwRJ9QwJkmSWollpCSpripK4lJKG4BPAf8X+B3g/Ii4\ntYZxSZLUEiwjJUn1VmmfuI8A3wGeDhyfUjoOWFjDuCRJagmWkZKkeqt0ioE1wP9JKW0re+73ahCP\nJEmtxjJSklRXFSVxKaVPT/HcWPXDkSSptVhGSpLqrdLmlPfVOhBJklqRZaQkqd4qHZ3y7oh4UU0j\nkSSpNVlGSpLqqtI+cfsDn42ILwKPAaSUXl+zqCRJah1tWUYODj4EwJIlhzU4ElXq6qvfA8C55/51\ngyOprjVrbgfghBNOanAkUvOoNIm7vvgnSZJ2VnEZGRH7AzcDPcAI8CrgB8APi1XOTik9UIsgZ2r1\n6lUAXHjhJQ2ORJW6//72bNm7evUtgEmcVK7SgU2+WutAJElqRTMsI88ArkopfTEirgPOB25KKb21\nNtHtncHBh1i79uGJZWvjml+pFq603C61cWvW3M7mzZsmlk3kpKyiJC4ifh84G5hfPPXElNLimkUl\nSVKLmEkZmVL6QNnDRcB/AycVfeoeAN40aaqChijVwpWWrY1rfuW1cO1UI1eqhSstm8RJWaXNKS8B\n3gUsB/4JeGXNIpIkqbXMuIyMiGOBAeCLwMdSSr+IiBuAE4Hb9rTtwMB85szpmXXQezJ3bs9Oy4sW\n7VvT46n62uU96+7u2mm5Xc4LdpxbO51Ts+ju7mJ7o4OYoZl+vitN4rallP4lIt6YUro9Itqjjl6S\nYKLZ2OLFhzY4ErWoGZWREbEQ+AfgVOCXKaXR4qVvAodMd7Dh4U2zDng6J598Kg888MDE8rp1G2p+\nTM3OEUccOVEDd8QRR7bNe7Z06Su58caPTyy3y3kBjI2NA7TVOTWL0t+2lYyNje/yWdhTUlfpFAN3\nRcRbgF9GxKeAvr2OUJKazK23foZbb/1Mo8NQ66q4jIyIecAtwNtSSj8BPhERh0dED7AU+G5dIp7G\nkiWHsXjxoSxefKj94VpEeR+4dukPB3kwk76++fT1zbcppVSm0oFNVkZEHzBGbupxz3TbRMTBwKdT\nSi+IiCcV2/ygePm0lNK6vYxZkqpm7dqHSWlwYtnaOM3UDMvINwBHABdGxIXAncAngC7gtpTSl2od\nb6WWLVve6BA0Q0cccWSjQ6iJZctOa3QIUtOptDklKaXNxeI/T7duRAwAHwf6i6eOBt6VUrpuxhGW\nufzyixkeHprNLqZV2v/KlefU9DgDAwu54IKLa3qMVatu5L77ps23J4yMjADQ398/zZo7O/LIo1m+\n/IwZbaPamen7Dp393pfXwN1662dM4rRXKi0ji3JwclnYlKOGWAPXetqpBq6cNXDSripO4mZoO3nu\nm1uLx8cAL4mINwJrUkoX7Gnj3XXafuyx37B+/Xq65tauNed40cJ06LHa9TkY37qZnp7umndk7eub\nR09PpS1m4fHHc7eM/fabWVx9ffPaolNu6W/V6ucy0/cdOvu9dwAHSZLUavaYxEXEncDknoFdwHhK\n6cW72y6l9FixfempfwUuBTYBX4qIZ6WUvre77XfXaXv79jG65vax4Ldfsaewm97GH9zG9u1jNe/I\nevLJp3HyyZU3QSjVPr773e+b8bHaoVPu9u1jQOufy0zfd+js9/7EE5fy4IMPTiy3+vm0olZNnPe2\njJQkabamq4l7XZWO843S6FsR8W3y6Fu7TeIkqV4WLz6UiCUTy9IMvK7RAUiSOtMek7hi5Kxq+EJE\nrAAeBV4GfKhK+5WkWTvllFMbHYJaUBXLSEmSZqRWfeImu4Q8AtfjwAdTSqlOx5WkaVkDJ0mSWklF\nSVxE/D5wDjvmvnliSmnxdNullI4r/r8TmHZ9SZJazd6WkZIk7a1Kh7C7BPgg8DPgKuDumkUkSVJr\nacsycnDwIQYHH2p0GJKfRWkKlSZx21JK/wLsn1K6HXh6DWOSJKmVtGUZuXr1KlavXtXoMCQ/i9IU\nKk3i7oqItwC/jIhPsaPJiCRJna7tysjBwYdYu/Zh1q592BoQNZSfRWlqFfWJSymtjIg+YAw4Ebin\nplFJktQi2rGMLK/1WL16FRdeeEkDo+lsN910A/feW1kL3ZGRjQD09y+Ydt2jjjqGFSvOnFVs9eBn\nUZpaRTVxEdFFTvi2AsPkqQIkSep4lpFqFqOjo4yOjjY6DEl1UOkUA58EVgEvAA4HtgEvr1VQkiS1\nkLYrI5ctW87ll188sazGWbHizIprzM49980AXH31B2oZUl35WZSmVmmfuCenlG4FDk8pHQ/Mr2FM\nkiS1krYrI5csOYzFiw9l8eJDWbLksEaHow7mZ1GaWqU1cfMi4hzg1xHxJGBuDWOSJKmVtGUZaa2H\nmoWfRWlXlSZx5wIrgLcDpxT/S5KkNi0jrfVQs/CzKO2q0tEp72bH5KUTDa0j4k0ppQ/VIjBJklqB\nZaQkqd4q7RO3O6+qShSSJLUfy0hJUk3MNonrqkoUkiS1H8tISVJNzDaJG69KFJIktR/LSElSTcw2\niZMkSZIk1dFsk7hfVSUKSZLaj2WkJKkmKhqdMiIOBF4K9JaeSyndkFJaUavAJElqBZaRUm0NDj4E\nONWAVK7SeeK+CNwF/Lp4bDt/SZIyy0iphlavXgXAhRde0uBIpOZRaRK3IaV0Vk0jkSSpNVVcRkbE\n/sDNQA8wQp6G4DrgUOBzKaXLahal1IIGBx9i7dqHJ5atjZOySpO4f46Is4CPpZQ21TIgTe3yyy9m\neHiopsco7X/lynNqehyAgYGFXHDBxTU/jiTVwUzKyDOAq1JKX4yI64DTgZ6U0rER8dGIOCSl9P2a\nRyy1iFItXGm5UbVxl176doaGqvs7bGhoPQDnnvvmqu4XYOHChVx0kfeE2lmlSdxfFP//VUQAjKeU\nnl6bkDSV4eEh1g89QndfpW/ZzI115xZAw5t/U7NjAIxt3lbT/UtSnVVcRqaUPlD2cBHwGuB9xeM7\ngOcDe0ziBgbmM2dOz6wCVnvq7s5TEy5atG+DI6meuXN7dlpu1Ln95jfDPLL+Eeiv4vF78m+6R7aM\nVm+fACMb6O7uaqvPwUx1d3exvdFBzNBM37OKMoKU0tP2OiJVTXffHAZOeGqjw5i14TU/bXQIklQ1\ne1NGRsSxwADwY+BnxdNDwBHTbTs8bIMYTW1sLN+MXbduQ4MjqZ6TTz6VBx54YGK5Uec2NjYO/fvS\ne/obGnL8mRi9+XrGxsbb6nMwU6XvQiuZ6j3bU1JX6eiUvwu8AZhfPPWUlNLxexmjJEltY6ZlZEQs\nBP4BOBU4D+grXlqA87dKO1my5DAWLz50YllSVmlh8X5gLbA/cD+wrmYRSZLUWiouIyNiHnAL8LaU\n0k+Ab5GbUAIcTq6Zk1Rm2bLlLFu2vNFhSE2l0iTu8ZTStcDc4v8n1TAmSZJayUzKyDeQm0xeGBFf\nAbqA10bEVcBy4HO1DlZqNUuWHGYtnDRJpaNk/DQi/gR4LCIuJ7fjlyRJMygjU0rXkacUmBARtwHH\nA+9JKT1a00glSW2h0iTuj4EnAP8MnEkeIlmSJM2yjEwpDQOrpl1RkqRCRc0pU0rbi3WfAXwWGKxl\nUJIktQrLSElSvVU6OuVbgdcWD99H7oT9uhrFJO2kHhOdQ/0mO3eic6m9WEZKkuqt0uaUpwDPBL6c\nUvpIRLy+hjFJOxkeHmJo/SMs6K7tyNs9Y2MAPF7DhHFjcQxJbcUyUpJUV5UmcduAJwPjEdEPPF67\nkKRdLeju5jX7L2x0GLP2yUdrX6Moqe4sIyVJdVVpEvdB8tw1m4H7gDfXKiBJklpMW5aRa9bcDsAJ\nJ5zU4EjU6c46608AeP/7P9LgSKTmUWkS9y7gRuBA8iSmZwJfqVFMkiS1krYsI1evvgUwiVPjPfaY\nM29Ik1WaxH0R+BTwwxrGIklSK2q7MnLNmtvZvHnTxLKJnBqlVAtXWrY2TsoqTeKeBwRQGpVhHHhx\nTSKSJKm1tF0ZWaqFKy2bxKlRymvhGlkjNzKyEbZsYfTm6xsWQ8VGNjCyfWujo2i44dFh3vIfF0y7\n3sjWER7fXpuuzPN65tE/t3/a9YZHh1m44MAZ7bvSJO5u4NKU0o9ntHdJktqfZaQkNZGFCysfDK9r\npAtGaxNH17wuuvqnH1194YIDZxQzVJ7EvRh4UURMPJFSevqMjiRJUntquzJy2bLTuPHGj08sS42y\n3377T9TA7bff/g2Lo79/AZt75tJ7+hsaFkOlRm++nv59ehsdRkNddNFljQ6h5ipK4lJKT6t1IJIk\ntaJ2LCNPOOEkBzZRU3j/+z/Ca1972sSypKzSmjhJktRBrIFTs2hkDZzUrEziJEnSLqyBU7OwBk7a\n1fQ97SRJkiRJTcMkTpIkSZJaSM2aU0bEwcCnU0oviIi5wGpgIXB9SumjtTquJEmSJLWzmtTERcQA\n8HGgNLvd2cC3UkrPA14ZEfvW4riSJEmS1O5qVRO3HXgVcGvx+Djg/GL5a8BzgTt3t/HAwHzmzOnZ\n5fmenvZp/dnT082iRZXnsu107jCz8+/kc6+X0t+42eKSJEnSrmqSxKWUHgMom/i0H/hZsTwEHLyn\n7YeHN035/PbtY9UJsAls3z7GunUbZrR+O5nJ+XfyuddL6W/cbHGpM3jzQJKkmalXFcdGoK9YXlDH\n40qSpL2wZs3trFlze6PDkDj//PM4//zzGh2G1FTqNU/ct4DnA58GDgfurtNxJUnSXli9+hbA+eLU\neD/72X83OgSp6dQrifs48PmIeAFwKHDP3uxkZGSE8a1b2PiD26oaXL2Nb93MyMh4o8OQJDXIpBGc\nn0QuF39QvHxaSmld46LLtXCbN2+aWDaRU6OU18Cdf/55vPvdVzUwGql51DSJSykdV/z/k4g4nlwb\n9zcppe21PK4kSc1qihGcjwbelVK6rnFR7axUC1daNomrrksvfTtDQ0NV3+/Q0HoAzj33zVXd78KF\nC7noosuqus9KldfCWSMn7VCvmjhSSj8HVs1mH/39/Yxu72LBb7+iSlE1xsYf3EZ///xGhyFJaozJ\nIzgfA7wkIt4IrEkpXbCnjXc3gnM1dXd37bTs4DPV9ZvfDLN+/a/prfJPga7iY7Fx86+rts/RTc31\nGWhUHOXfiVbQTO+ZaqNuSZwkSZpyBOd/BS4FNgFfiohnpZS+t7vtdzeCczUtXfpKbrzx4xPLjlxb\nXWNj4/TOh2NPa3Qk07vrlhxvoz4DT3rSUyZq4J70pKc0LI6xsdbqBtPI90zVs6dE3FEiJUlqrG+k\nlDYUXQ2+DRzS6IBOOOEkent76e3ttSmlGqq8D5z94aQdrIlrESMjI4yNbmN4zU8bHcqsjW3exsjY\nSKPDaBmXX34xw8PV7ztRrrT/lSvPqelxBgYWcsEFF9f0GKtW3ch9981s7KSRkfx57O/vn2bNHY48\n8miWLz9jRseZqfPOO4vHHnu04vXzneJ63S3umlHzov3225+rrnp/DeNpaV+IiBXAo8DLgA81OB4A\n9t//gEaHIAEwd+7cRocgNR2TOKnJDQ8PsX79enrn1q4fZRe5I8XGxzbX7BijW2vfBGxvPf74KDCz\nJK4etmzZwtjYGHRVmizVs7nPOBW3LhofZ8uWLTWNpsVdAtwJPA58MKWUGhwPg4MP8etf/2piecmS\nwxockTrV4OBDbN26dWLZz6KUmcS1iP7+fh7v3srACU9tdCizNrzmp/T3NdeP5WbXO3c+Ryw5tdFh\nzMr9g5+py3GWLz9jxjVkpRrIK664phYh7bX+/n62zZnL05b/aaNDmZUfrfow/b3zGh1G0ykbwflO\nYHFjo9nZ6tWrdlq+8MJLGhiNOpmfRWlq9omTJEmSpBZiEidJknaybNnyKZelevOzKE3N5pSSJGkn\nS5YcxuLFh04sS9V20003cO+9d1e0bnd3rnP48IcrGxzpqKOOYcWKM/c6NqkVmMRJkqRdWOuhZjE+\n3lpztEn1YBInSZJ2YQ2camnFijMrri0799w3A3D11R+oZUhSS7FPnCRJkiS1EGviJKmJbRvZwI9W\nfbhm+98+mudv6+ndp2bH2DayAXoPrNn+VRvWfkhS8zKJk6QmNTCwsObHGN60EYD9azmPW++BdTkX\nVdcjj6xrdAiSpN0wiZOkJnXBBRfX/BjNOtG5GqtUC1datjZOkpqLSZykpnX55RczPDxU8+OUjlFK\naGplYGBhXRIzabbKa+GskZMKIxsYvfn66u2vaM5OtZuzj2yAfXqru081HZM4SU1reHiIoaFH2Le/\nhk39gDk9+f+to4/V7BgbRh6v2b4lSbW1cGH1m4QPFc3ZF1Y74dqntybxqrmYxElqavv2z+NNZzyz\n0WHM2odufKDRIUgVmz+/n02bRiaWpU530UWXVX2fDh6k2XCKAUmStJPyyZWdaFmSmo9JnCRJkiS1\nEJM4SZK0k2XLTptyWZLUHOwTJ0mSdnLCCSexevUtE8uqrpGRjWzZAnfd0uhIprdlE3SNbWx0GJIm\nabkkbnzrZjb+4Lba7X97HkGuq6d2o+GNb90MzJ/xdmObtzG85qfVD6i0/8e3A9A9r6dmx4B8HvRV\nvv7IyAijY2N88tHaDzVfaxvHxugdGZnRNiMjI4xu3cL9g5+pUVT1Mbp1E10jY40Oo62tWnUj9913\nz4y22dvpFY488miWLz9jRtuotVgDJ0nNq6WSuIGB2g+XOjyc5+wY2G/mSVbl5s/4XOpy7lvyj7mB\nvgNqe6C++pyPpOnNm+dcQpqaNXC109+/gPHuTRzbAnnyXbdAf9+CRochaZKWSuLqMUlu6W70FVdc\nU/NjzUQnn3t/fz9zHx/lNfu3fuL3yUeHmNc/s+G6+/v7Gd/ezRFLTq1RVPVx/+Bn6O+fQRWsZmz5\n8jOsHZMkqQM4sIkkSZIktRCTOEmSJElqISZxkiRJktRCWqpPnCRJ7SAiDgY+nVJ6QUTMBVYDC4Hr\nU0ofbWx0kqRmZ02cJEl1FBEDwMeB0ihHZwPfSik9D3hlROzbsOAkSS3BmjhJkuprO/Aq4Nbi8XHA\n+cXy14DnAnfW4sA33XQD9957d0XrjozkCZ77+ysbXv6oo45hxYoz9zo2SVLlTOIkSaqjlNJjABFR\neqof+FmxPAQcvKftBwbmM2dOz14du69vHt3dXRWtOzo6CsC++1ZWMdjXN49Fi6xErESl70Gz6O7u\nauh7W/p7tdvnq13PS/VhEqeWsHFsjE8+OlTTY2wZGwNgn+7atTLeODZG6892J6nKNgJ9wKPAguLx\nbg0Pb9rrAy1dejpLl55e0brnnvtmAK688v0V73/dug17FVenGRsbb3QIMzI2Nt7Q97b092q3z1e7\nnpeqZ08Jvkmcmt7AQH3SnpHhnCTOq+HxFlK/85HUMr4FPB/4NHA4UFl7R02wmaikTmMSp6Z3wQUX\n1+U4K1eeA8AVV1xTl+NpeiMjI4yOPs6Hbnyg0aHM2oaRx+ndNtLoMNScPg58PiJeABwK3NPgeNpa\nqZlopUmcJDUjkzhJkhogpXRc8f9PIuJ4cm3c36SUtjc0sBa0YsWZFdeWlZqJXn31B2oZkiTVlEmc\npKbV39/PvDnbedMZz2x0KLP2oRsfYG5v//QrqiOllH4OrGp0HKqf0U1w1y3V3efWx/P/c+dVb5+j\nm2BBX2XrXnrp2xkaqn7/9aGh9cCOBLyaFi5cyEUXXVb1/Uq1ZhInSZJURwsX1qZv9NDmnOws6Duw\navtc0Fd5vENDQzyy/hHo763a8QHoyaM4PrKlygOAjIxWd39SHZnESZIk1VGtan6aoqlofy89rz6u\nccefge2f+kqjQ5D2Wu3GUpckSZIkVV1dauIiYg7ww+IfwNkppdYfbk6SJEmS6qxezSmfBdyUUnpr\nnY4ntZXRrZu4f/AzNdv/tu25N/ycnir2hp9kdOsmFlBh7/gyG0ZqP8XAltFtAOzTW7tL4oaRx1lY\n5W4ikiSpM9UriTsGOCkiXgQ8ALwppbRtdysPDMxnzpyeOoW2s56e3MJ0TzOkt6tOPndo3vN/whMW\nTcRWK488shmA/QdqOXpiPwceeOCM/r71OHeAjZseAWCf+QfU7Bj7zGfG5y9JUrO46aYbuPfeuyta\nd2RkI1D5fIxHHXVMxdOEKKtXEncf8NKU0i8i4gbgROC23a08PLypTmHtavv2MQDWravyCEgtoJPP\nHZr3/FeuvKgOx8gTnb/73e+r+bFm8vetx7nn4zTn+XcKE1tJai+jo3nkz0qTOM1cvZK476WUSuO4\nfhM4pE7HlSRJkjRLK1acWXFtWVOMlNrm6jU65Sci4vCI6AGWAt+t03ElSZIkqa3UqybuncCngC7g\ntpTSl+p0XEmSJElqK3VJ4lJKD5JHqJQkSZIkzUK9auIkSVINXHrp2xkaGqr6foeG1gM7+rZU08KF\nC7noosuqvl811sjIRtiyhe2f+kqjQ6nMyBZGtnc1OoqGarXrh9eOHUziJElqYUNDQwytf4SF+8yv\n6n57u4upfkaqO2L00JbK91eLH5gmp9IOQ0NDrF+/nvn9C6u6356ePDHq5i3jVdvnppHqJ5utzCRO\nkqQWt3Cf+Vz9sj9sdBgVOfeOf6543fwDcx379VXv+HOKId22blpXvZ0Cj22u6u5aUn//Ajb3jNPz\n6uMaHUpFtn/qK/Tv4xD48/sX8opXX93oMKZ126fObXQITcUkTmozq1bdyH333TOjbYaH892t0nxp\nlTryyKNZvvyMGW1Ta/U6/2Y8d6kd7dcHf/7y5v+5cu2/bmt0CGoCM5kQe6a1wk6IrXLNf1WUVHPz\n5vU2OoSG6vTzlyTVX2+vZY/2nkmc1GaWLz+jo2uIOv38JUmNM5MJsaXZMImTJKmFjYxsZHTLlhn1\nNWukoS2b6GWs0WGoVkZGqz865ejW/H/v3Orud2QU9tm3uvuU6sQkTpIkSbO2cGF1RzgsGdqU+44t\nrHbCtc++NYtZqjWTOEmSWlh//wL66W6t0Sn7qzsdgppDraZXKA38cfXVH6jJ/qVW1N3oACRJkiRJ\nlbMmTpKkBoqIOcAPi38AZ6eUHmhgSJKkJmcSJ0lSYz0LuCml9NZGByJJag0mcZIkNdYxwEkR8SLg\nAeBNKaUZzRw9tGVT1UenHNn6OAD9c+dVdb9DWzaxsMI+cSMjG9m8GS5fXb2JtMfH8/9dXVXb5cR+\n+8Y3Vnen1G7yaCeOFpS+Y5u5+R//qKr7HS++aF1V/KKNj48xtr2vavtrdSZxakurVt3IfffdM6Nt\nhoeHAFi58pyKtznyyKOdk0zSbN0HvDSl9IuIuAE4EbhtdysPDMxnzpyeicdPeMIiururnJEAo49s\nBmDfffurut+D9u3noIMOYtGi6UcanD9/PqOjo1U9/vh4nt6gq6u6wwJ0deV4Kzmvmejrm1fx+7vP\nPvsAVLR+X9+8qsdaK6XzaZV4W0ktvmNQmySuq6u7Jt+xVmUSJxXmzettdAiSOtP3UkqlX1HfBA7Z\n08rDw5t2evy2t11Sk6BKtTlXXvn+mux/3boN067zvvd9sOrHrfVIh5Wc10wsXXo6S5eeXtV9llQ7\n1loZG8sJQavE20pq8R2D2n7POulzsKeE1SRObWn58jOsIZPUKj4REe8CHgSWApc3OB5JUpMziZMk\nqbHeCXwK6AJuSyl9qcHxSJKanEmcJEkNlFJ6kDxCpSRJFTGJkyRJkrRHtRopFRwtdW+YxEmSJEmq\nmt5eB4urNZM4SZIkSXu0YsWZ1pY1EZM4SZIk1ZVN86TZMYmTJElS07JpnrSrtk7iVq26kfvuu2dG\n2wwPDwGwcuU5M9ruyCOPdl4ySZKkCtg0T5qdtk7i9sa8ed7tkSS1p3Ztwtau5yVJu9PWSdzy5WdY\nOyZJ0l5o1yZs7XpekrL5v0sAABReSURBVDpL1/j4eKNj2MW6dRuaL6gOUGpCesUV1zQ4EkmdZNGi\nfbsaHUMrsYyUpM6wp/LRJK6NzbRPYKk/4MDAwhkdx/6AkmbDJG5mLCNnZ3DwIQCWLDmswZFI0p7t\nqXzsrmcgam7z5vXaJ1CS1NZWr17F6tWrGh2GJM1KW/eJ63T2CZQkaYfBwYdYu/bhiWVr4yS1Kmvi\nJEnSLgYHH5poetguymvgrI2T1MpM4iRJ0i5sdihJzcskTpIk7aTU7HDt2ofbqjZu2bLlUy5LUqsx\niZMkSTtp12aHS5YcxuLFh7J48aH2h5PU0hzYRJIkdQxr4CS1A2viJEnSTtq52eGSJYdZCyep5VkT\nJ0mSdlJqdlhaliQ1F5M4SZK0i3argZOkdmISJ0mSdmENnCQ1L/vESZIkSVILMYmTJEmSpBZS1+aU\nEXE9cCjwuZTSZfU8tiRJzcryUZI0E3WriYuIZUBPSulY4OkRcUi9ji1JUrOyfJQkzVQ9a+KOA1YV\ny3cAzwe+P9WKixbt21WnmCRJarTjqLB8BMtISVJ9+8T1Az8rloeAg+t4bEmSmpXloyRpRuqZxG0E\n+orlBXU+tiRJzcryUZI0I/UsKL5FbiICcDjw4zoeW5KkZmX5KEmakXr2ifss8PWIeCLwcuCYOh5b\nkqRmZfkoSZqRrvHx8bodLCIGgOOBr6WUflm3A0uS1MQsHyVJM1HXJE6SJEmSNDt2nu4wEdFT/N8V\nEXMiorvsta7yx50uIvZpl79H6f3ew+vd7XKu1dBO7700Fa8JlYmI/SPiTxodx2xExKGNjqEWIuKA\nogly24qI3oj4X42Oo1yH/N1b4hzr2Seu6UTE2cDmlNJHyp6bBzwLOAr4A+BvgftSSqMRcQWwJqX0\nbw0JeJYi4mDgExHxHOCbxb8jIuIpwLb/v70zj7OrqPL4Nxv7jih8HDGg+ENAZBA/IIgGDC6IRJYg\nLkBkBiEDKg4OIrIGUIwigjhgBGQxJIMh7DjDEiIMGEBGA4j+FDEoEglrQsCQkGT+OPXSLy/vdbqb\n16/7dc738+lPv3dv3Xp1bt1bVefUqTrAM8B3gf+puuYk4EXbF/RBkXsNSZ8DXrB9cyfJzgZuAKa1\nplS9ypuBn0l6tXwfSjzn/1e+DwHOlnQp8DjxLMwADgBeAIYBf7P9mZaWuheQdArwVPV7X4eBVPfL\n6Ex2SdNs71n1/X+BPW0vbGUZk5YxYNoESXsCpwOvAqsBlWd2NeCLtmeWdAcDU4GlwGLbS2ry2R84\nkugPb7V9HiHvVyT93Pbf6AMkbQS8B/i17We7ee0ewLmSdrb96kov6IdI2gzYFrjP9ktVp74CvBEY\n2ycFaw2fAUYDe/d1Qaro8n2X9G3gPNtPle+nAZfY/qukYcBS2681uHY14LXa97RFNEXGOml/aft9\nzSrkKudOKWlo5YGRdBSwwPZllXPE9s5fB3YFjrb9kKQfEIO5nQklbnpflL0ZSFoDuMn2yPJ9A+Ak\nQr57bb9Yk/6rwHzbF7W8sL2IpBOBWbavqjn+OeAIopN/N/AwsIQY0PzQ9uRWl7U3KPU6zPa3ao7f\nBFwOvIF4F9YCfgusC4ywfViry9psJH0NmG37iprjA77u68kuaT1gU2ACMIZoD4YDOxID+kHAWbYH\nlEKbLM9AaRMk3Wt71zrHBZxh+yBJXyKMtJV3/VDbt1Wl3REYBYwjjJpfJJTET9lu6aCprJW8ufwd\nTBhWnqlJM5RQtB8vh75o++HS3z8IvAQ8SwxKnyXkXhP4TF+vvyzG5Sm2d29w/h3AxcAdRJ3sYnth\nqc8ZRBv1D2AzYDZhjHjR9sGtKH9NWevWQ510axHjrR2qjl0CbAPcbPvMcmwT4DfAn4B5dMg4GFjT\n9h69KE6lXMvVT1fvu6QpwKeADwJnEm3FQkmPls9zJB0JHA4sKj+3Q5G3wurAYbYf7Q15ihI5FdiI\nULoubbaMdX5/pu13N0ueVWomrlizrpW0CFgD2K0cH0NY3oYRVo9vABcB84r74deJBvQ3dbJtN/YG\nboNlDc5M4G5C7gslDW91J9UKSj2ubvuVcmgI0bFRXIbWAhYAk4CJRLDdC23vV5VmUKvL3RtIeitw\nKrCHpLfafqImyX7AicCBwFyi019EdPxtiaTf0RFMeXNgoaRDiXZgvu2PMkDrfmWyA8cAI4GNCcXt\nKNuvSbrd9khJg2hj+ZOVM8DahLpWfeBo4EhJZwNX2T5f0ieBXSsKXBnUjQUeBZ4Djgeusf07SbcD\nUyV9qZ6FvRfZHvh32zOKQrcjVd4yVWkm2f5azfELgbttHwXLFPIx3Z3N6y2KPJcTwe4bsT3wedt/\nkvQuYAtJs4GrgbEV45qkGbb36fVCd06jelhGGYtcDWxQdWx/YIjt90m6VNJWRJiRicAPbJ9d0rVU\nxtr6KQa/rt73rWwvBqZJuhk4lFDG16koN7Z/BPyo6vd+Y/v9dfLqFXkI48yDtk+TdIuknxF9XdNk\nrMOyNrP0rYNLHj1ilVLibD9PaMxIOpqorMHAj2xPKsf3JCpwG2A74CrCGr8ncFYfFLtpFKXtZGCI\npLGEEvsAcB6wmHgeRks6gQ53lM2AxUXRhRj4nWH7mlaWvQkMByZKqnTwWwAvl5kJCIvPjcBHCdnf\nBAyVNL0qj9UknW67tgNtG0ojPJGo98GEe+05tq+vSrYQqCi7hwD7UFynWlnWJrOoavb5q8Dfbf9U\n0nDgAkn7ApXnfqDVfaey234MeEzSaEKRGy9pW+CdZdD3gu1D+qrwSe/S7m2CpPWJEA0VV8HtJE2j\nQ8lchxgo7g18iJDzCUmnAn8m+oFTiaUTqwM7AX8nDH27Aq9JOqB8v44I/9AyJc72LwAkfYBY5jGu\nTrJdgH0UrpMPEy6h6xMusPPLAHMp8F5gkqQlxDKRk1ogQmcsJmYyrm+UwPYUxfr9jwMbAo8RY7Mr\ngU8UDwqICZRbiHHMBNtTerfodVmhHhq4Cn6BGFtWGEGMOwFuJWJGLiJmgzYt7TAsL+MNLVjmUls/\nW9D1+15t4PmW7SWS1iFcsRtSFJv1bM9tlhBV1Mozguj3Ae4i3v3n6V0ZN5M0o3weUspyZk8FWqWU\nuAqSNgYOIizvAGMV/u4v2p4m6UHgSeDO8ncwMTP3XJ8UuHkcTnTGpxKdcEVR27Hy2fbVdDQmA8ad\n0vafqIq9JOkO4C+2P1+TdFyZebkbOKCvXU2aSXHNuIYwRnycME7sT1iRFtm+pSQdR1jdnwSOI1yN\nDpfUn3zyu0unPvW2bwBuGKB136nsRZk7CtgSMPH+X2n7zZJ2Jjq9ZAAyENqEMtjbA0CxEcG5lPXd\ntmdV0km6EfgxMSP3PcKA8XA5dyjRD/6R8MjYEPit7XPL7JzKuc1t/7FFoi2jDGw/RQwOv1PcvSpM\nA34OjLQ9W9IVwN6lTTtesabxy7Yf628zcbbnAVTEkXQ9oXxWuMr2BEIRPwh4glhDNROYKeku2x8o\n186w3dfP4wMsXw8PSKpWRh61/W/AU8tXIWvTYRB5HtixPLunFIPEh4t3REtlrK2fntz3YmRZTHh9\n7EF4f3XGO4HJkg5o9rtWKw8r3vc32b6T3pVxtu2mxQFd5ZQ4SasDPyVmpLYhGuzvEm6Wo0vjdgww\nB7iWUODOJhqQfYFtJb3T9oV9Uf7XyeV0KG7Q4SK1OXATEWR2wKPYqetlYCNJsu2aJOsSVubJ5WXf\nGHgHsLXtP7e0sE1C0tbAZMItZ1qxamL7WYVL0e2SdirJnyLcQp4s3+dLmgDMkXRrA8tif2eowh0K\nOlwKxxAzy/Oq0g24umflsm8I3A5sZ/suAEnPl/fkOMKdPBlgDNA2YT9i7dT21QcVblRTicHVRcAv\ngPOLMvQ4MbAaXQy87yh/knQsMUb4PHAOMQb4jxbJsoyyxOFoSWcAj9g+svq8pNXdsWnJr4CtVHai\npoHLa1EMh/SjusP2qAbHXwQOk3Ql8N5iaF9CY9kGl+tavSHGQzX1MNP2OV24bj6xRhFCYR3chfob\nDAx6Pa543UXhzdXl+y5pXWJsOZ7wdBpDjEMbYvtRhafYTZL2rTM+ayaV+z6XuO/zWyFjM1mllDhJ\nWwJXANMJy+NGRGXNJQYxD0g6kHBZuJNQ5NYgfFwrjcbFtm9seeGbgGOHTYiHbWPCfeT3xJTyQ8A/\nJA1pZaPQaooS/0Og0jlPkPQxd6yVw/ZcSZ8mXG2GEVbOL7fxIB7CijzKK651wfbjknawPa88H1MJ\ni/WbS5JLgBNtf6FlpW0+h9u+H1ZwKVyDGLABA7buO5Xd9kPl3LFV15xCuJdcWWaxk4HHgGoTyizc\nvxJLJravOv5PxOYENxEbFTxcjLUXS7oMOK1qxm5DYpZuGOHydjsxC/lKybflmxtp+c2INgBerJPs\nSklnAY8AnwS+SWwCciThlvf9Uo/vJZYVLCJcZ38JnNHrQrwOJF1IrDO7iw75TyI8a17S8q6Glc9D\niPWAN7S4uPXqoSs8SLhQziA22jHx/I0int3rSv3VyngtsSFVq+jufb+ZmBG/UdIRwNbAMcXws6DR\nj9i+R7HxoIh70VtU7vsU4r7PoEUyNotVSokjlLDzbP8Mlq2LW2D7kvJ9EvHCfJmoSGwfV7lYsSD6\npdpM24yXiYXb2xCWh7cTvtkLCP//t0maRWy/vJwyVyxDg20vog0plueLgMvcseX0fwK3SRpTM3X/\nWWJr6ZeJDqStd+YrdVk9WFtus46KmwHRQI22PV8RXuIAwrf/aUWIjVNs/6NFxW4aFSWmsEz20sg+\nVJN8oNV9p7KX93oPYJikTYGPEAOIicAHFTv5TXbjhdpJGzKQ2gTFFvQ3AV8viucSYBNic4jTCcPt\nXOAThIvh2GpXyyo2I8ZF9wOHEQrDtYTL4mS6PihvJhOAqxWx6h4h1kzVMo7oxwcRa6UqM+9TqxOp\nn7lTdpHxhHK0lAj7YOC02kSS7nPfb2zSqB5WxnXA3cUQ8TFiB865hLKwjL6W0fZptcfqlUnhgvxG\nYmOgByWdT7xbOxKGhSmSRnU2YVDcGnuby4FbJO1OjInvs31vbaLXIyPRrq4QzqQqn6GEi3CPJk9W\nKSWuNNqzqg4NIeLIVM4v0/gV8SmG1WQxjFj43LZUFFjgntIp3Gh7IoQLFeFueTrwodIRUs6NIR7G\nqwn307ZC0meJDvhI2/9dOW77vyQtAO6QtHvFKm17nKTxxIDlKEnTXWer4DZmdeq//0Nszy+ftyDW\nYEwklPxziMH+LXWuayfWoeq9r2WA1/0KstterNjQ6URiw4DNgH1tP1dmrg8nNoSYVJtZMqBoyzZB\n0uaEC+UJVW37dcB3i4HieWIGbn9CIbsAuFTSK4TV/GJJi4EfOzbR2JpQfmYQfd276Nj84HZJLd2W\n3/YLwF4rSfMINS6kDViDFcc1fY7tEZ2c+zMxW7Iy1mlagXpIN+phOZmL4WEEUc/j3XhTjz6RsbP6\noU6ZbC+StD2hzN5DrFM9tigy50tam9hA7KmaS9duhTdYRR7bT0jai3i+Tunkd1+PjP9CbHZTcc9c\noI6NTSDa3BOIWf9us8rFiUtWTYrVZM0q63Lt+bVtv9ziYvVrVBVTMUmSpL+2CZLWa9S29yCvwcCm\nLoF7kyTpOZIG98HaxJbSlzKmEpckSZIkSZIkSdJGDO7rAiRJkiRJkiRJkiRdJ5W4JEmSJEmSJEmS\nNiKVuCTpBSRdVhYqNzo/S9Ibeum3h0ua3ht5J0mSJEmzKLthNzr3/bJjbo/ylXSPpOnlb4eeljFJ\n+iur1O6USZIkSZIkSf/H9rErT9Upo9osnEKSdItU4pKkB5TdLi8i4uwBHArsBJwMPA2sX9KNAYZX\n4qtImmV7eCf5fgvYnXg3x9r+taRfAXvbniPpZOBJ2z+pl7bpgiZJkiRJAyT9juj7fkvE2DyBCM3w\nTcLb6zbbp5S0s4g4vCcDJ9v+eVU+B5XrR9teWI5NJ+Lazaq6/jxgP2A9YC/bz0j6CRHnax4Ry/er\nDcr6LuAyYGci1twrtr8p6RngbmBzIr7buNd5W5KkJaQ7ZZL0jCOAJbY/SARj/QYRf+jDwL5At10l\nJe0NvMf2+4HjgG+XU5OIILUQgZiv6SRtkiRJkrSK+4GRRCy+fwa2BH5CKGS7AjtJ+nBV+pFEMOtq\nBW4U8CXgoIoC1wmLbX8AuBcYKWkDIs7XLsBfgSttP17SXl9xpwQo8T6nAt8j4huOL+k2JBS/XYCD\nSqzAJOn35ExckvSM7YDdSuewGvAq8JLtOQBl9mw5JK3VhTzfXvIcTEdQ1quACyXdRszCzZPUKG2S\nJEmStIr7gM8RAdY/BswB3lI1e3Y38G7g1pL+G3ViDR4BrEl4sMxZye9dWv7PIQLUvwL8hVDqZgG3\nVaWt5055PuEtc0RVOZ6pKH6SHiYU0d+vpBxJ0ufkTFyS9IxHgEm2RwCHAJOB9SRtLGk1wiIJsBDY\npHwe1YU87yx57kdYDLE9m3hXDwEmdpY2SZIkSVrIfcAngV8D2xMzc4MkvUXSIGA3YGYlcYOg7AcS\n7pfj65xbDtvzaw69B5hp+322P13nfC1nAd8BjpO0djm2iaQtJQ0tMjy2snIkSX8gZ+KSpGdcDFwk\n6U5gbeBE4FjgDuAZwi8fwip4jKQLgNk1edwpaXH5fLntcyWNKLNr6xIuHxWmAGcCbwOwfUsnaZMk\nSZKkFTwELAD+QCg/9wM3EobNypq4WxtfDrYXEMsEjpG0m+17uvH7fyBcIHcC5gPTbVeUweslLSqf\nJxCzd9sSLp1PA+cARwHPAWcTM3BX2f5DN34/SfqMQUuXLu3rMiRJkiRJkiRJt5D0UeB4YAlhPJ1r\ne0w38+h0w7Ek6a+kEpckSZIkSZIkSdJG5Jq4JEmSJEmSJEmSNiKVuCRJkiRJkiRJkjYilbgkSZIk\nSZIkSZI2IpW4JEmSJEmSJEmSNiKVuCRJkiRJkiRJkjYilbgkSZIkSZIkSZI24v8Btpjd54p9hl0A\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 薪水的分组箱线图\n",
    "\n",
    "# plt.figure(figsize=(20, 10))\n",
    "# sns.boxplot(x='eduLevel', y='mean_salary', data=data, hue='workingExp')\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15, 5))\n",
    "\n",
    "sns.boxplot(x='eduLevel', y='mean_salary', data=data, ax=axes[0], )\n",
    "axes[0].set_title('图5-8 以学历分组的薪水箱线图', fontsize=15)\n",
    "axes[0].set_ylim([0, 28])    # 为了更直观，忽视异常值\n",
    "\n",
    "sns.boxplot(x='workingExp', y='mean_salary', data=data, ax=axes[1])\n",
    "axes[1].set_title('图5-8 以工作经验分组的薪水箱线图', fontsize=15)\n",
    "axes[1].set_ylim([0, 45])\n",
    "\n",
    "# ！！如果对变量设置category类型或排一下序会更直观"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图5-8 可见，箱子的长度表示数据的离散程度，本科学历在薪资水平的离散程度最大，分布最广，一方面是因为本科对应的数据多，另一方面也说明了本科生的两极分化更严重，可以很优秀，也可以很差劲；\n",
    "由图5-9 可见，工作经验越丰富，薪资水平的中位数也就相对越大，工作经验与薪资水平之间存在着正相关。   \n",
    "综上，想提高薪水，学历越高越有优势，本科生不可好乐有荒，也要注重自身多维度能力的培养，要多实习，丰富自己的工作经验也是很好很好的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T09:32:05.801569Z",
     "start_time": "2019-01-22T09:32:05.795571Z"
    }
   },
   "source": [
    "**软件能力要求**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:07:30.055745Z",
     "start_time": "2019-01-22T15:07:29.429369Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'图5-9 杭州市数据分析岗招聘软件能力要求条形图')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ugiTpDmayTptZXwoCfBB4cURsMuyGSJIkSYPM+mCdmX+klIE8c9htkSRJkgaZ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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 软件能力要求（12个）：\n",
    "# - 编程式数据分析工具：Python、R、MATLAB、Julia、SAS(5)\n",
    "# - 菜单式数据分析工具：Excel、SPSS、Eviews(3)\n",
    "# - 商业智能工具（可视化）BI：Tableau、Power BI (2)\n",
    "# - 数据库工具：SQL（Oracle,MySQL，SQLServer）、MongoDB（2）\n",
    "\n",
    "software = []  # 初始化一个列表\n",
    "soft_df = data['software_ability'].apply(pd.Series).dropna(how='all')\n",
    "for a in soft_df.values:\n",
    "    for b in a:\n",
    "        if b is not np.nan:\n",
    "            software.append(b)\n",
    "\n",
    "soft_count = pd.DataFrame(\n",
    "    pd.Series(software).value_counts().sort_values(), columns=['count'])\n",
    "\n",
    "# 绘制条形图\n",
    "soft_count.plot.barh(alpha=0.6, color='k', rot=0,\n",
    "                     legend=False, figsize=(12, 7))\n",
    "plt.xticks([])\n",
    "plt.title('图5-9 杭州市数据分析岗招聘软件能力要求条形图', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上图5-9 可以看到：  \n",
    "- 目前杭州市数据分析岗对于Excel的要求仍然是最普遍的，因为Excel方便快捷，能满足工作中绝大部分的分析工作；\n",
    "- R语言占其次（有可能文本中R语言的干扰信息清洗的不够彻底，导致R语言的频数虚高，当然不可否认的是 R语言在数据科学领域是非常强大的），出于其强大完整的数据分析功能，由统计学家制作的R语言更受统计学专业背景的人群的青睐；\n",
    "- SQL作为数据库语言中受众最广的语言也是众多企业对数据分析求职者的基本标准之一；\n",
    "- 企业也会要求求职者掌握Python。在数据分析领域Python与R语言的特性相近，功能相近，在数据科学领域Python会更胜一筹，而且Python更符合潮流。与R语言类似，在数据分析岗，对于Python，更多的是一个加分项；\n",
    "- SAS企业用到的不多，因为是非开源软件，费用昂贵，求职者也很少有接触到SAS学习的机会；\n",
    "- SPSS专注于统计调查，简单且性能强大，但是也不是免费的；\n",
    "- MATLAB同理；\n",
    "- 至于Tableau等商业智能软件，企业对求职者一般很少做要求，因为商业智能在一定程度上脱离了数据分析的范畴了，可以作为加分项；\n",
    "- 其余列出的数据分析相关软件没有出现在条形图中，说明在数据分析领域，这些软件还不是或者说还没有成为主流。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 软件能力要求分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-01-22T15:07:44.777368Z",
     "start_time": "2019-01-22T15:07:34.252600Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>antecedents</th>\n",
       "      <th>consequents</th>\n",
       "      <th>antecedent support</th>\n",
       "      <th>consequent support</th>\n",
       "      <th>support</th>\n",
       "      <th>confidence</th>\n",
       "      <th>lift</th>\n",
       "      <th>leverage</th>\n",
       "      <th>conviction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(Python)</td>\n",
       "      <td>(SQL)</td>\n",
       "      <td>0.149038</td>\n",
       "      <td>0.192308</td>\n",
       "      <td>0.100962</td>\n",
       "      <td>0.677419</td>\n",
       "      <td>3.522581</td>\n",
       "      <td>0.0723</td>\n",
       "      <td>2.503846</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  antecedents consequents  antecedent support  consequent support   support  \\\n",
       "0    (Python)       (SQL)            0.149038            0.192308  0.100962   \n",
       "\n",
       "   confidence      lift  leverage  conviction  \n",
       "0    0.677419  3.522581    0.0723    2.503846  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from mlxtend.preprocessing import TransactionEncoder\n",
    "from mlxtend.frequent_patterns import apriori\n",
    "from mlxtend.frequent_patterns import association_rules\n",
    "\n",
    "# 数据准备\n",
    "dataset = data['software_ability'].apply(\n",
    "    pd.Series).dropna(how='all').values.tolist()\n",
    "\n",
    "for i in dataset:\n",
    "    while np.nan in i:\n",
    "        i.remove(np.nan)\n",
    "\n",
    "# 建立模型\n",
    "te = TransactionEncoder()\n",
    "# 转换数据集\n",
    "te_ary = te.fit_transform(dataset)\n",
    "# 转换为DataFrame\n",
    "df = pd.DataFrame(te_ary, columns=te.columns_)\n",
    "\n",
    "# 通过 Apriori 算法生成频繁项集\n",
    "frequent_itemsets = apriori(\n",
    "    df, min_support=0.1, use_colnames=True)  # 频繁项集最小支持度为0.1\n",
    "frequent_itemsets[frequent_itemsets.itemsets.apply(\n",
    "    lambda x: len(x)) >= 2]  # 只选择长度大于等于2的频繁项集\n",
    "\n",
    "# 执行关联规则\n",
    "association_rules(frequent_itemsets, metric=\"confidence\",\n",
    "                  min_threshold=0.6)  # 置信度阈值为 0.6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "结果显示：\"Python$→$SQL; support=0.1, confidence=0.6, lift=3.5\".   \n",
    "杭州有67.74%的企业在要求求职者能掌握 Python 时，同时掌握SQL。  \n",
    "所以发展火爆，势头未减的Python要好好学，SQL也要会啊，最起码得保证基本的增删查改吧！这样才能提升自己的求职竞争力！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过对智联招聘杭州站的数据分析岗的数据进行分析，根据结果得到了以下结论：\n",
    "1. 公司的基本信息：\n",
    "- 公司规模为100-499人的中小型企业对于数据分析人才的需求量最大；\n",
    "- 民营企业提供较多的数据分析岗；\n",
    "2. 职位的基本信息：\n",
    "- 相对而言，择选滨江区、余杭区进行就业，对于数据分析师发展会有更好的发展；\n",
    "- 数据分析岗几乎都是全职的，其薪资仍比较可观；\n",
    "3. 岗位要求信息分析\n",
    "- 学历要求最多的是中等学历的大专，工作经验要求最多的是1-3年；\n",
    "- 学历一般与薪资水平正相关，工作经验也是；\n",
    "- 本科生薪水的离散程度最大；\n",
    "- Excel是公司对数据分析求职者最普遍最基本的要求，公司也很看重SQL，Python\\R作为加分项；\n",
    "- 要求求职者会Python的公司一般也倾向于要求求职者会SQL。  \n",
    "\n",
    "根据结论，我认为作为数据分析岗的求职者，可以择选滨江区、余杭区中的中型或中小型企业作为理想的归宿。如果可以，尽量提升自己的学历（而且这个时代本科生都满地走了），并且寻找机会增加自己的实践经验（一定程度上比学历更重要），可以好乐，但是要无荒，需要努力提升自己的专业水平与业务理解。至于软件，Excel和SQL是必须的，Python、R择其一，要达到掌握及以上的程度。  \n",
    "都说互联网寒冬，谈及色变，但换个角度想想，又何尝不是机遇呢？最重要的还是丰富自己的经验，修炼自己的能力，端正自己的态度啊。  \n",
    "引用雪莱的一句话：“If winter comes,can spring be far behind?”（冬天来了，春天还会远吗）"
   ]
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